include llama.cpp since there were some edits

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zefie committed 2026-11-01 16:32:35 -05:00
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name: Bug (compilation)
description: Something goes wrong when trying to compile llama.cpp.
title: "Compile bug: "
labels: ["bug-unconfirmed", "compilation"]
body:
- type: markdown
attributes:
value: >
Thanks for taking the time to fill out this bug report!
This issue template is intended for bug reports where the compilation of llama.cpp fails.
Before opening an issue, please confirm that the compilation still fails
after recreating the CMake build directory and with `-DGGML_CCACHE=OFF`.
If the compilation succeeds with ccache disabled you should be able to permanently fix the issue
by clearing `~/.cache/ccache` (on Linux).
Please fill out this template yourself, copypasting language model outputs is [strictly prohibited](https://github.com/ggml-org/llama.cpp/blob/master/CONTRIBUTING.md#ai-usage-policy).
- type: textarea
id: commit
attributes:
label: Git commit
description: Which commit are you trying to compile?
placeholder: |
$git rev-parse HEAD
84a07a17b1b08cf2b9747c633a2372782848a27f
validations:
required: true
- type: dropdown
id: operating-system
attributes:
label: Operating systems
description: Which operating systems do you know to be affected?
multiple: true
options:
- Linux
- Mac
- Windows
- BSD
- Other? (Please let us know in description)
validations:
required: true
- type: dropdown
id: backends
attributes:
label: GGML backends
description: Which GGML backends do you know to be affected?
options: [AMX, BLAS, CANN, CPU, CUDA, Hexagon, HIP, Metal, Musa, OpenCL, OpenVINO, RPC, SYCL, VirtGPU, Vulkan, WebGPU, zDNN, ZenDNN]
multiple: true
validations:
required: true
- type: textarea
id: info
attributes:
label: Problem description & steps to reproduce
description: >
Please give us a summary of the problem and tell us how to reproduce it.
If you can narrow down the bug to specific compile flags, that information would be very much appreciated by us.
placeholder: >
I'm trying to compile llama.cpp with CUDA support on a fresh install of Ubuntu and get error XY.
Here are the exact commands that I used: ...
validations:
required: true
- type: textarea
id: first_bad_commit
attributes:
label: First Bad Commit
description: >
If the bug was not present on an earlier version: when did it start appearing?
If possible, please do a git bisect and identify the exact commit that introduced the bug.
validations:
required: false
- type: textarea
id: command
attributes:
label: Compile command
description: >
Please provide the exact command you used to compile llama.cpp. For example: `cmake -B ...`.
This will be automatically formatted into code, so no need for backticks.
render: shell
validations:
required: true
- type: textarea
id: logs
attributes:
label: Relevant log output
description: >
Please copy and paste any relevant log output, including any generated text.
This will be automatically formatted into code, so no need for backticks.
render: shell
validations:
required: true
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name: Bug (model use)
description: Something goes wrong when running a model (crashes, garbled outputs, etc.).
title: "Eval bug: "
labels: ["bug-unconfirmed", "model evaluation"]
body:
- type: markdown
attributes:
value: >
Thanks for taking the time to fill out this bug report!
This issue template is intended for bug reports where the model evaluation results
(i.e. the generated text) are incorrect or llama.cpp crashes during model evaluation.
If you encountered the issue while using an external UI (e.g. ollama),
please reproduce your issue using one of the examples/binaries in this repository.
The `llama-completion` binary can be used for simple and reproducible model inference.
Please fill out this template yourself, copypasting language model outputs is [strictly prohibited](https://github.com/ggml-org/llama.cpp/blob/master/CONTRIBUTING.md#ai-usage-policy).
- type: textarea
id: version
attributes:
label: Name and Version
description: Which version of our software are you running? (use `--version` to get a version string)
placeholder: |
$./llama-cli --version
version: 2999 (42b4109e)
built with cc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0 for x86_64-linux-gnu
validations:
required: true
- type: dropdown
id: operating-system
attributes:
label: Operating systems
description: Which operating systems do you know to be affected?
multiple: true
options:
- Linux
- Mac
- Windows
- BSD
- Other? (Please let us know in description)
validations:
required: true
- type: dropdown
id: backends
attributes:
label: GGML backends
description: Which GGML backends do you know to be affected?
options: [AMX, BLAS, CANN, CPU, CUDA, Hexagon, HIP, Metal, Musa, OpenCL, OpenVINO, RPC, SYCL, VirtGPU, Vulkan, WebGPU, zDNN, ZenDNN]
multiple: true
validations:
required: true
- type: textarea
id: hardware
attributes:
label: Hardware
description: Which CPUs/GPUs are you using?
placeholder: >
e.g. Ryzen 5950X + 2x RTX 4090
validations:
required: true
- type: textarea
id: model
attributes:
label: Models
description: >
Which model(s) at which quantization were you using when encountering the bug?
If you downloaded a GGUF file off of Huggingface, please provide a link.
placeholder: >
e.g. Meta LLaMA 3.1 Instruct 8b q4_K_M
validations:
required: false
- type: textarea
id: info
attributes:
label: Problem description & steps to reproduce
description: >
Please give us a summary of the problem and tell us how to reproduce it.
If you can narrow down the bug to specific hardware, compile flags, or command line arguments,
that information would be very much appreciated by us.
If possible, please try to reproduce the issue using `llama-completion` with `-fit off`.
If you can only reproduce the issue with `-fit on`, please provide logs both with and without `--verbose`.
placeholder: >
e.g. when I run llama-completion with `-fa on` I get garbled outputs for very long prompts.
With short prompts or `-fa off` it works correctly.
Here are the exact commands that I used: ...
validations:
required: true
- type: textarea
id: first_bad_commit
attributes:
label: First Bad Commit
description: >
If the bug was not present on an earlier version: when did it start appearing?
If possible, please do a git bisect and identify the exact commit that introduced the bug.
validations:
required: false
- type: textarea
id: logs
attributes:
label: Relevant log output
description: >
Please copy and paste any relevant log output, including the command that you entered and any generated text.
For very long logs (thousands of lines), please upload them as files instead; the `--log-file` CLI argument can be used for this purpose.
On Linux you can alternatively redirect the console output of any command into a file by appending ` > llama.log 2>&1` to your command.
value: |
<details>
<summary>Logs</summary>
<!-- Copy-pasted short logs go into the "console" area here -->
```console
```
</details>
<!-- Long logs that you upload as files go here, outside the "console" area -->
validations:
required: true
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name: Bug (misc.)
description: Something is not working the way it should (and it's not covered by any of the above cases).
title: "Misc. bug: "
labels: ["bug-unconfirmed"]
body:
- type: markdown
attributes:
value: >
Thanks for taking the time to fill out this bug report!
This issue template is intended for miscellaneous bugs that don't fit into any other category.
If you encountered the issue while using an external UI (e.g. ollama),
please reproduce your issue using one of the examples/binaries in this repository.
Please fill out this template yourself, copypasting language model outputs is [strictly prohibited](https://github.com/ggml-org/llama.cpp/blob/master/CONTRIBUTING.md#ai-usage-policy).
- type: textarea
id: version
attributes:
label: Name and Version
description: Which version of our software is affected? (You can use `--version` to get a version string.)
placeholder: |
$./llama-cli --version
version: 2999 (42b4109e)
built with cc (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0 for x86_64-linux-gnu
validations:
required: true
- type: dropdown
id: operating-system
attributes:
label: Operating systems
description: Which operating systems do you know to be affected?
multiple: true
options:
- Linux
- Mac
- Windows
- BSD
- Other? (Please let us know in description)
validations:
required: false
- type: dropdown
id: module
attributes:
label: Which llama.cpp modules do you know to be affected?
multiple: true
options:
- Documentation/Github
- libllama (core library)
- llama-cli
- llama-server
- llama-bench
- llama-quantize
- Python/Bash scripts
- Test code
- Other (Please specify in the next section)
validations:
required: false
- type: textarea
id: command
attributes:
label: Command line
description: >
Please provide the exact commands you entered, if applicable. For example: `llama-server -m ... -c ...`, `llama-cli -m ...`, etc.
This will be automatically formatted into code, so no need for backticks.
render: shell
validations:
required: false
- type: textarea
id: info
attributes:
label: Problem description & steps to reproduce
description: >
Please give us a summary of the problem and tell us how to reproduce it (if applicable).
validations:
required: true
- type: textarea
id: first_bad_commit
attributes:
label: First Bad Commit
description: >
If the bug was not present on an earlier version and it's not trivial to track down: when did it start appearing?
If possible, please do a git bisect and identify the exact commit that introduced the bug.
validations:
required: false
- type: textarea
id: logs
attributes:
label: Relevant log output
description: >
If applicable, please copy and paste any relevant log output, including any generated text.
If you are encountering problems specifically with the `llama_params_fit` module, always upload `--verbose` logs as well.
For very long logs (thousands of lines), please upload them as files instead; the `--log-file` CLI argument can be used for this purpose.
On Linux you can alternatively redirect the console output of any command into a file by appending ` > llama.log 2>&1` to your command.
value: |
<details>
<summary>Logs</summary>
<!-- Copy-pasted short logs go into the "console" area here -->
```console
```
</details>
<!-- Long logs that you upload as files go here, outside the "console" area -->
validations:
required: false
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name: Enhancement
description: Used to request enhancements for llama.cpp.
title: "Feature Request: "
labels: ["enhancement"]
body:
- type: markdown
attributes:
value: |
[Please post your idea first in Discussion if there is not yet a consensus for this enhancement request. This will help to keep this issue tracker focused on enhancements that the community has agreed needs to be implemented.](https://github.com/ggml-org/llama.cpp/discussions/categories/ideas)
Please fill out this template yourself, copypasting language model outputs is [strictly prohibited](https://github.com/ggml-org/llama.cpp/blob/master/CONTRIBUTING.md#ai-usage-policy).
- type: checkboxes
id: prerequisites
attributes:
label: Prerequisites
description: Please confirm the following before submitting your enhancement request.
options:
- label: I am running the latest code. Mention the version if possible as well.
required: true
- label: I carefully followed the [README.md](https://github.com/ggml-org/llama.cpp/blob/master/README.md).
required: true
- label: I searched using keywords relevant to my issue to make sure that I am creating a new issue that is not already open (or closed).
required: true
- label: I reviewed the [Discussions](https://github.com/ggml-org/llama.cpp/discussions), and have a new and useful enhancement to share.
required: true
- type: textarea
id: feature-description
attributes:
label: Feature Description
description: Please provide a detailed written description of what you were trying to do, and what you expected `llama.cpp` to do as an enhancement.
placeholder: Detailed description of the enhancement
validations:
required: true
- type: textarea
id: motivation
attributes:
label: Motivation
description: Please provide a detailed written description of reasons why this feature is necessary and how it is useful to `llama.cpp` users.
placeholder: Explanation of why this feature is needed and its benefits
validations:
required: true
- type: textarea
id: possible-implementation
attributes:
label: Possible Implementation
description: If you have an idea as to how it can be implemented, please write a detailed description. Feel free to give links to external sources or share visuals that might be helpful to understand the details better.
placeholder: Detailed description of potential implementation
validations:
required: false
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name: Research
description: Track new technical research area.
title: "Research: "
labels: ["research 🔬"]
body:
- type: markdown
attributes:
value: |
Don't forget to check for any [duplicate research issue tickets](https://github.com/ggml-org/llama.cpp/issues?q=is%3Aopen+is%3Aissue+label%3A%22research+%F0%9F%94%AC%22)
Please fill out this template yourself, copypasting language model outputs is [strictly prohibited](https://github.com/ggml-org/llama.cpp/blob/master/CONTRIBUTING.md#ai-usage-policy).
- type: checkboxes
id: research-stage
attributes:
label: Research Stage
description: Track general state of this research ticket
options:
- label: Background Research (Let's try to avoid reinventing the wheel)
- label: Hypothesis Formed (How do you think this will work and it's effect?)
- label: Strategy / Implementation Forming
- label: Analysis of results
- label: Debrief / Documentation (So people in the future can learn from us)
- type: textarea
id: background
attributes:
label: Previous existing literature and research
description: Whats the current state of the art and whats the motivation for this research?
- type: textarea
id: hypothesis
attributes:
label: Hypothesis
description: How do you think this will work and it's effect?
- type: textarea
id: implementation
attributes:
label: Implementation
description: Got an approach? e.g. a PR ready to go?
- type: textarea
id: analysis
attributes:
label: Analysis
description: How does the proposed implementation behave?
- type: textarea
id: logs
attributes:
label: Relevant log output
description: Please copy and paste any relevant log output. This will be automatically formatted into code, so no need for backticks.
render: shell
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name: Refactor (Maintainers)
description: Used to track refactoring opportunities.
title: "Refactor: "
labels: ["refactor"]
body:
- type: markdown
attributes:
value: |
Don't forget to [check for existing refactor issue tickets](https://github.com/ggml-org/llama.cpp/issues?q=is%3Aopen+is%3Aissue+label%3Arefactoring) in case it's already covered.
Also you may want to check [Pull request refactor label as well](https://github.com/ggml-org/llama.cpp/pulls?q=is%3Aopen+is%3Apr+label%3Arefactoring) for duplicates too.
Please fill out this template yourself, copypasting language model outputs is [strictly prohibited](https://github.com/ggml-org/llama.cpp/blob/master/CONTRIBUTING.md#ai-usage-policy).
- type: textarea
id: background-description
attributes:
label: Background Description
description: Please provide a detailed written description of the pain points you are trying to solve.
placeholder: Detailed description behind your motivation to request refactor
validations:
required: true
- type: textarea
id: possible-approaches
attributes:
label: Possible Refactor Approaches
description: If you have some idea of possible approaches to solve this problem. You may want to make it a todo list.
placeholder: Your idea of possible refactoring opportunity/approaches
validations:
required: false
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blank_issues_enabled: false
contact_links:
- name: Got an idea?
url: https://github.com/ggml-org/llama.cpp/discussions/categories/ideas
about: Pop it there. It may then become an enhancement ticket.
- name: Got a question?
url: https://github.com/ggml-org/llama.cpp/discussions/categories/q-a
about: Ask a question there!
- name: Want to contribute?
url: https://github.com/ggml-org/llama.cpp/wiki/contribute
about: Head to the contribution guide page of the wiki for areas you can help with
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name: "ccache-buckets"
description: "Save/restore latest GitHub Actions ccache matching a key prefix to/from HF buckets"
inputs:
key:
description: "Cache key prefix to match and load"
required: true
folder:
description: "Bucket folder containing ccache files"
required: true
evict-old-files:
description: "Corresponds to the ccache --evict-older-than AGE option, where AGE is the number of seconds or days followed by the 's' or 'd' suffix respectively."
default: ''
save:
description: "Save ccache"
required: false
default: false
type: boolean
hf_bucket:
description: 'Hugging Face buckets path'
required: true
runs:
using: "composite"
steps:
- name: Install Hugging Face Hub CLI
shell: bash
run: |
python3 -m venv .venv-hf
.venv-hf/bin/pip install -U huggingface_hub==1.28.0
- name: Restore ccache from buckets
if: ${{ inputs.save != 'true' }}
shell: bash
run: |
set +e -uo pipefail
source .venv-hf/bin/activate
CCACHE_DIR=$(ccache -k cache_dir)
if [[ -d "$CCACHE_DIR" ]]; then
CACHE_PATH=$(hf buckets list "hf://buckets/${{ inputs.hf_bucket }}/${{ inputs.folder }}" --json | jq -r '[.[] | select(.type == "file") | select(.path | startswith("${{ inputs.folder }}/${{ inputs.key }}") and endswith(".tar.gz"))] | sort_by(.path) | last | .path // ""')
if [[ -n "$CACHE_PATH" ]]; then
echo "Restoring ccache from '$CACHE_PATH'."
hf buckets cp "hf://buckets/${{ inputs.hf_bucket }}/$CACHE_PATH" ccache_bucket.tar.gz
mkdir -p ccache_bucket
if tar -xzf ccache_bucket.tar.gz -C ccache_bucket; then
rm -rf "$CCACHE_DIR"
mv ccache_bucket "$CCACHE_DIR"
ccache -z
fi
rm ccache_bucket.tar.gz
else
echo "No ccache found."
fi
else
echo "'$CCACHE_DIR' not found."
fi
- name: Save ccache to buckets
if: ${{ inputs.save == 'true' }}
shell: bash
run: |
if [[ -n "$HF_TOKEN" ]]; then
set +e -uo pipefail
source .venv-hf/bin/activate
CCACHE_DIR=$(ccache -k cache_dir)
if [[ -d "$CCACHE_DIR" ]]; then
ccache -s
if [[ -n "${{ inputs.evict-old-files }}" ]]; then
ccache --evict-older-than "${{ inputs.evict-old-files }}"
fi
DATESTAMP=$(date -u +'%Y-%m-%dT%H:%M:%SZ')
CACHEFILE="${{ inputs.key }}-$DATESTAMP.tar.gz"
if tar -czf ccache_bucket.tar.gz -C "$CCACHE_DIR" .; then
hf buckets cp ccache_bucket.tar.gz "hf://buckets/${{ inputs.hf_bucket }}/${{ inputs.folder }}/$CACHEFILE"
fi
rm ccache_bucket.tar.gz
else
echo "'$CCACHE_DIR' not found."
fi
fi
- name: Remove old ccache files from buckets
if: ${{ inputs.save == 'true' }}
shell: bash
run: |
if [[ -n "$HF_TOKEN" ]]; then
set +e -uo pipefail
source .venv-hf/bin/activate
CACHE_FILES=$(hf buckets list "hf://buckets/${{ inputs.hf_bucket }}/${{ inputs.folder }}" --json | jq -r '[.[] | select(.type == "file") | select((.uploaded_at | .[:19]+"Z" | fromdateiso8601) < (now - 5 * 60)) | select(.path | startswith("${{ inputs.folder }}/${{ inputs.key }}") and endswith(".tar.gz"))] | sort_by(.path)[:-1] | .[] | [.path // ""] | @tsv')
if [[ -n "$CACHE_FILES" ]]; then
echo "Removing old ccache files..."
while IFS=$'\t' read -r CACHE_PATH; do
hf buckets rm "hf://buckets/${{ inputs.hf_bucket }}/$CACHE_PATH" -y
done <<< "$CACHE_FILES"
fi
fi
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# note: place this as the last step of the job, so the new cache is saved by "Post ccache" right after the old one is cleared
name: "ccache-clear"
description: "Delete GitHub Actions caches matching a key prefix, oldest first"
inputs:
key:
description: "Cache key prefix to match and delete"
required: true
older:
description: "Only delete caches created more than this long ago (e.g. 90m, 1h, 1d). By default all matching caches are deleted"
required: false
default: ""
min:
description: "Stop deleting if fewer than this many caches would remain (e.g. 1). By default there is no minimum"
required: false
default: "0"
dry-run:
description: "Only print the caches that would be deleted, without deleting them"
required: false
default: "false"
runs:
using: "composite"
steps:
- name: Install GitHub CLI if missing
shell: bash
run: |
# e.g. in container jobs, where it is not preinstalled
if ! command -v gh >/dev/null 2>&1; then
echo "GitHub CLI not found, installing..."
if ! command -v curl >/dev/null 2>&1; then
apt-get update >/dev/null 2>&1 || true
apt-get install -y curl >/dev/null 2>&1 || true
fi
mkdir -p -m 755 /etc/apt/keyrings
curl -fsSL https://cli.github.com/packages/githubcli-archive-keyring.gpg | tee /etc/apt/keyrings/githubcli-archive-keyring.gpg >/dev/null
chmod go+r /etc/apt/keyrings/githubcli-archive-keyring.gpg
echo "deb [arch=$(dpkg --print-architecture) signed-by=/etc/apt/keyrings/githubcli-archive-keyring.gpg] https://cli.github.com/packages stable main" > /etc/apt/sources.list.d/github-cli.list
apt-get update >/dev/null 2>&1 || true
apt-get install -y gh || { echo "Failed to install GitHub CLI (gh)" >&2; exit 1; }
fi
command -v gh >/dev/null 2>&1 || { echo "GitHub CLI (gh) is required but could not be installed" >&2; exit 1; }
- name: Clear caches
shell: bash
run: |
bash scripts/ccache-clear.sh \
--key "${{ inputs.key }}" \
--older "${{ inputs.older }}" \
--min "${{ inputs.min }}" \
${{ inputs.dry-run == 'true' && '--dry-run' || '' }}
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name: "Determine tag name"
description: "Determine the tag name to use for a release"
outputs:
name:
description: "The name of the tag"
value: ${{ steps.tag.outputs.name }}
runs:
using: "composite"
steps:
- name: Determine tag name
id: tag
shell: bash
run: |
BUILD_NUMBER="$(git rev-list --count HEAD)"
SHORT_HASH="$(git rev-parse --short=7 HEAD)"
if [[ "${{ env.BRANCH_NAME }}" == "master" || "${{ env.BRANCH_NAME }}" == "b${BUILD_NUMBER}" ]]; then
echo "name=b${BUILD_NUMBER}" >> $GITHUB_OUTPUT
else
SAFE_NAME=$(echo "${{ env.BRANCH_NAME }}" | tr '/' '-')
echo "name=${SAFE_NAME}-b${BUILD_NUMBER}-${SHORT_HASH}" >> $GITHUB_OUTPUT
fi
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name: "Install exe"
description: "Download and install exe"
inputs:
url:
description: "URL of the exe installer"
required: true
args:
description: "Installer arguments"
required: true
timeout:
description: "Timeout (in ms)"
required: false
default: "600000"
runs:
using: "composite"
steps:
- name: Install EXE
shell: pwsh
run: |
$ErrorActionPreference = "Stop"
write-host "Downloading Installer EXE"
Invoke-WebRequest -Uri "${{ inputs.url }}" -OutFile "${env:RUNNER_TEMP}\temp-install.exe"
write-host "Installing"
$proc = Start-Process "${env:RUNNER_TEMP}\temp-install.exe" -ArgumentList '${{ inputs.args }}' -NoNewWindow -PassThru
$completed = $proc.WaitForExit(${{ inputs.timeout }})
if (-not $completed) {
Write-Error "Installer timed out. Killing the process"
$proc.Kill()
exit 1
}
if ($proc.ExitCode -ne 0) {
Write-Error "Installer failed with exit code $($proc.ExitCode)"
exit 1
}
write-host "Completed installation"
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name: "Linux - Setup OpenVINO Toolkit"
description: "Setup OpenVINO Toolkit for Linux"
inputs:
path:
description: "Installation path"
required: true
version_major:
description: "OpenVINO major version (e.g., 2025.3)"
required: true
version_full:
description: "OpenVINO full version (e.g., 2025.3.0.19807.44526285f24)"
required: true
runs:
using: "composite"
steps:
- name: Setup OpenVINO Toolkit
id: setup
uses: ./.github/actions/unarchive-tar
with:
url: https://storage.openvinotoolkit.org/repositories/openvino/packages/${{ inputs.version_major }}/linux/openvino_toolkit_ubuntu24_${{ inputs.version_full }}_x86_64.tgz
path: ${{ inputs.path }}
type: z
strip: 1
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name: "Linux - Setup SpacemiT Toolchain"
description: "Setup SpacemiT Toolchain for Linux"
inputs:
path:
description: "Installation path"
required: true
version:
description: "SpacemiT toolchain version"
required: true
runs:
using: "composite"
steps:
- name: Setup SpacemiT Toolchain
id: setup
uses: ./.github/actions/unarchive-tar
with:
url: https://github.com/spacemit-com/toolchain/releases/download/v${{ inputs.version }}/spacemit-toolchain-linux-glibc-x86_64-v${{ inputs.version }}.tar.xz
path: ${{ inputs.path }}
strip: 1
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name: "Unarchive tar"
description: "Download and unarchive tar into directory"
inputs:
url:
description: "URL of the tar archive"
required: true
path:
description: "Directory to unarchive into"
required: true
type:
description: "Compression type (tar option)"
required: false
default: "J"
strip:
description: "Strip components"
required: false
default: "0"
runs:
using: "composite"
steps:
- name: Unarchive into directory
shell: bash
run: |
mkdir -p ${{ inputs.path }}
cd ${{ inputs.path }}
curl --no-progress-meter -L ${{ inputs.url }} | tar -${{ inputs.type }}x --strip-components=${{ inputs.strip }}
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@@ -0,0 +1,155 @@
name: "Windows - Setup CUDA Toolkit"
description: "Setup CUDA Toolkit for Windows"
inputs:
cuda_version:
description: "CUDA toolkit version"
required: true
cuda_arch:
description: "CUDA target architecture"
required: true
runs:
using: "composite"
steps:
- name: Install Cuda Toolkit 11.7
if: ${{ inputs.cuda_version == '11.7' }}
shell: pwsh
run: |
mkdir -p "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.7"
choco install unzip -y
curl -O "https://developer.download.nvidia.com/compute/cuda/redist/cuda_cudart/windows-x86_64/cuda_cudart-windows-x86_64-11.7.99-archive.zip"
curl -O "https://developer.download.nvidia.com/compute/cuda/redist/cuda_nvcc/windows-x86_64/cuda_nvcc-windows-x86_64-11.7.99-archive.zip"
curl -O "https://developer.download.nvidia.com/compute/cuda/redist/cuda_nvrtc/windows-x86_64/cuda_nvrtc-windows-x86_64-11.7.99-archive.zip"
curl -O "https://developer.download.nvidia.com/compute/cuda/redist/libcublas/windows-x86_64/libcublas-windows-x86_64-11.7.4.6-archive.zip"
curl -O "https://developer.download.nvidia.com/compute/cuda/redist/cuda_nvtx/windows-x86_64/cuda_nvtx-windows-x86_64-11.7.91-archive.zip"
curl -O "https://developer.download.nvidia.com/compute/cuda/redist/visual_studio_integration/windows-x86_64/visual_studio_integration-windows-x86_64-11.7.91-archive.zip"
curl -O "https://developer.download.nvidia.com/compute/cuda/redist/cuda_nvprof/windows-x86_64/cuda_nvprof-windows-x86_64-11.7.101-archive.zip"
curl -O "https://developer.download.nvidia.com/compute/cuda/redist/cuda_cccl/windows-x86_64/cuda_cccl-windows-x86_64-11.7.91-archive.zip"
unzip '*.zip' -d "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.7"
xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.7\cuda_cudart-windows-x86_64-11.7.99-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.7" /E /I /H /Y
xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.7\cuda_nvcc-windows-x86_64-11.7.99-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.7" /E /I /H /Y
xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.7\cuda_nvrtc-windows-x86_64-11.7.99-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.7" /E /I /H /Y
xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.7\libcublas-windows-x86_64-11.7.4.6-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.7" /E /I /H /Y
xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.7\cuda_nvtx-windows-x86_64-11.7.91-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.7" /E /I /H /Y
xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.7\visual_studio_integration-windows-x86_64-11.7.91-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.7" /E /I /H /Y
xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.7\cuda_nvprof-windows-x86_64-11.7.101-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.7" /E /I /H /Y
xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.7\cuda_cccl-windows-x86_64-11.7.91-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.7" /E /I /H /Y
echo "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.7\bin" | Out-File -FilePath $env:GITHUB_PATH -Encoding utf8 -Append
echo "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.7\libnvvp" | Out-File -FilePath $env:GITHUB_PATH -Encoding utf8 -Append
echo "CUDA_PATH=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.7" | Out-File -FilePath $env:GITHUB_ENV -Append -Encoding utf8
echo "CUDA_PATH_V11_7=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.7" | Out-File -FilePath $env:GITHUB_ENV -Append -Encoding utf8
- name: Install Cuda Toolkit 12.4
if: ${{ inputs.cuda_version == '12.4' }}
shell: pwsh
run: |
mkdir -p "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.4"
choco install unzip -y
curl -O "https://developer.download.nvidia.com/compute/cuda/redist/cuda_cudart/windows-x86_64/cuda_cudart-windows-x86_64-12.4.127-archive.zip"
curl -O "https://developer.download.nvidia.com/compute/cuda/redist/cuda_nvcc/windows-x86_64/cuda_nvcc-windows-x86_64-12.4.131-archive.zip"
curl -O "https://developer.download.nvidia.com/compute/cuda/redist/cuda_nvrtc/windows-x86_64/cuda_nvrtc-windows-x86_64-12.4.127-archive.zip"
curl -O "https://developer.download.nvidia.com/compute/cuda/redist/libcublas/windows-x86_64/libcublas-windows-x86_64-12.4.5.8-archive.zip"
curl -O "https://developer.download.nvidia.com/compute/cuda/redist/cuda_nvtx/windows-x86_64/cuda_nvtx-windows-x86_64-12.4.127-archive.zip"
curl -O "https://developer.download.nvidia.com/compute/cuda/redist/cuda_profiler_api/windows-x86_64/cuda_profiler_api-windows-x86_64-12.4.127-archive.zip"
curl -O "https://developer.download.nvidia.com/compute/cuda/redist/visual_studio_integration/windows-x86_64/visual_studio_integration-windows-x86_64-12.4.127-archive.zip"
curl -O "https://developer.download.nvidia.com/compute/cuda/redist/cuda_nvprof/windows-x86_64/cuda_nvprof-windows-x86_64-12.4.127-archive.zip"
curl -O "https://developer.download.nvidia.com/compute/cuda/redist/cuda_cccl/windows-x86_64/cuda_cccl-windows-x86_64-12.4.127-archive.zip"
unzip '*.zip' -d "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.4"
xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.4\cuda_cudart-windows-x86_64-12.4.127-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.4" /E /I /H /Y
xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.4\cuda_nvcc-windows-x86_64-12.4.131-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.4" /E /I /H /Y
xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.4\cuda_nvrtc-windows-x86_64-12.4.127-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.4" /E /I /H /Y
xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.4\libcublas-windows-x86_64-12.4.5.8-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.4" /E /I /H /Y
xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.4\cuda_nvtx-windows-x86_64-12.4.127-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.4" /E /I /H /Y
xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.4\cuda_profiler_api-windows-x86_64-12.4.127-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.4" /E /I /H /Y
xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.4\visual_studio_integration-windows-x86_64-12.4.127-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.4" /E /I /H /Y
xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.4\cuda_nvprof-windows-x86_64-12.4.127-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.4" /E /I /H /Y
xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.4\cuda_cccl-windows-x86_64-12.4.127-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.4" /E /I /H /Y
echo "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.4\bin" | Out-File -FilePath $env:GITHUB_PATH -Encoding utf8 -Append
echo "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.4\libnvvp" | Out-File -FilePath $env:GITHUB_PATH -Encoding utf8 -Append
echo "CUDA_PATH=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.4" | Out-File -FilePath $env:GITHUB_ENV -Append -Encoding utf8
echo "CUDA_PATH_V12_4=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.4" | Out-File -FilePath $env:GITHUB_ENV -Append -Encoding utf8
- name: Install Cuda Toolkit 13.1
if: ${{ inputs.cuda_version == '13.1' }}
shell: pwsh
run: |
mkdir -p "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.1"
choco install unzip -y
curl -O "https://developer.download.nvidia.com/compute/cuda/redist/cuda_crt/windows-x86_64/cuda_crt-windows-x86_64-13.1.80-archive.zip"
curl -O "https://developer.download.nvidia.com/compute/cuda/redist/cuda_cudart/windows-x86_64/cuda_cudart-windows-x86_64-13.1.80-archive.zip"
curl -O "https://developer.download.nvidia.com/compute/cuda/redist/cuda_nvcc/windows-x86_64/cuda_nvcc-windows-x86_64-13.1.80-archive.zip"
curl -O "https://developer.download.nvidia.com/compute/cuda/redist/cuda_nvrtc/windows-x86_64/cuda_nvrtc-windows-x86_64-13.1.80-archive.zip"
curl -O "https://developer.download.nvidia.com/compute/cuda/redist/libcublas/windows-x86_64/libcublas-windows-x86_64-13.2.0.9-archive.zip"
curl -O "https://developer.download.nvidia.com/compute/cuda/redist/libnvvm/windows-x86_64/libnvvm-windows-x86_64-13.1.80-archive.zip"
curl -O "https://developer.download.nvidia.com/compute/cuda/redist/cuda_nvtx/windows-x86_64/cuda_nvtx-windows-x86_64-13.1.68-archive.zip"
curl -O "https://developer.download.nvidia.com/compute/cuda/redist/cuda_profiler_api/windows-x86_64/cuda_profiler_api-windows-x86_64-13.1.80-archive.zip"
curl -O "https://developer.download.nvidia.com/compute/cuda/redist/visual_studio_integration/windows-x86_64/visual_studio_integration-windows-x86_64-13.1.68-archive.zip"
curl -O "https://developer.download.nvidia.com/compute/cuda/redist/cuda_cccl/windows-x86_64/cuda_cccl-windows-x86_64-13.1.78-archive.zip"
unzip '*.zip' -d "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.1"
xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.1\cuda_crt-windows-x86_64-13.1.80-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.1" /E /I /H /Y
xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.1\cuda_cudart-windows-x86_64-13.1.80-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.1" /E /I /H /Y
xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.1\cuda_nvcc-windows-x86_64-13.1.80-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.1" /E /I /H /Y
xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.1\cuda_nvrtc-windows-x86_64-13.1.80-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.1" /E /I /H /Y
xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.1\libcublas-windows-x86_64-13.2.0.9-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.1" /E /I /H /Y
xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.1\libnvvm-windows-x86_64-13.1.80-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.1" /E /I /H /Y
xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.1\cuda_nvtx-windows-x86_64-13.1.68-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.1" /E /I /H /Y
xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.1\cuda_profiler_api-windows-x86_64-13.1.80-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.1" /E /I /H /Y
xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.1\visual_studio_integration-windows-x86_64-13.1.68-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.1" /E /I /H /Y
xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.1\cuda_cccl-windows-x86_64-13.1.78-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.1" /E /I /H /Y
echo "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.1\bin" | Out-File -FilePath $env:GITHUB_PATH -Encoding utf8 -Append
echo "CUDA_PATH=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.1" | Out-File -FilePath $env:GITHUB_ENV -Append -Encoding utf8
echo "CUDA_PATH_V13_1=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.1" | Out-File -FilePath $env:GITHUB_ENV -Append -Encoding utf8
- name: Install Cuda Toolkit 13.4 for x64
if: ${{ inputs.cuda_version == '13.4' && inputs.cuda_arch == 'x64' }}
shell: pwsh
run: |
mkdir -p "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4"
choco install unzip -y
curl -O "https://developer.download.nvidia.com/compute/cuda/redist/cuda_crt/windows-x86_64/cuda_crt-windows-x86_64-13.4.59-archive.zip"
curl -O "https://developer.download.nvidia.com/compute/cuda/redist/cuda_cudart/windows-x86_64/cuda_cudart-windows-x86_64-13.4.49-archive.zip"
curl -O "https://developer.download.nvidia.com/compute/cuda/redist/cuda_nvcc/windows-x86_64/cuda_nvcc-windows-x86_64-13.4.59-archive.zip"
curl -O "https://developer.download.nvidia.com/compute/cuda/redist/cuda_nvrtc/windows-x86_64/cuda_nvrtc-windows-x86_64-13.4.59-archive.zip"
curl -O "https://developer.download.nvidia.com/compute/cuda/redist/libcublas/windows-x86_64/libcublas-windows-x86_64-13.7.0.27-archive.zip"
curl -O "https://developer.download.nvidia.com/compute/cuda/redist/libnvvm/windows-x86_64/libnvvm-windows-x86_64-13.4.59-archive.zip"
curl -O "https://developer.download.nvidia.com/compute/cuda/redist/cuda_nvtx/windows-x86_64/cuda_nvtx-windows-x86_64-13.4.49-archive.zip"
curl -O "https://developer.download.nvidia.com/compute/cuda/redist/cuda_profiler_api/windows-x86_64/cuda_profiler_api-windows-x86_64-13.4.49-archive.zip"
curl -O "https://developer.download.nvidia.com/compute/cuda/redist/visual_studio_integration/windows-x86_64/visual_studio_integration-windows-x86_64-13.4.49-archive.zip"
curl -O "https://developer.download.nvidia.com/compute/cuda/redist/cccl/windows-x86_64/cccl-windows-x86_64-13.3.4.2.1-archive.zip"
unzip '*.zip' -d "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4"
xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4\cuda_crt-windows-x86_64-13.4.59-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4" /E /I /H /Y
xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4\cuda_cudart-windows-x86_64-13.4.49-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4" /E /I /H /Y
xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4\cuda_nvcc-windows-x86_64-13.4.59-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4" /E /I /H /Y
xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4\cuda_nvrtc-windows-x86_64-13.4.59-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4" /E /I /H /Y
xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4\libcublas-windows-x86_64-13.7.0.27-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4" /E /I /H /Y
xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4\libnvvm-windows-x86_64-13.4.59-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4" /E /I /H /Y
xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4\cuda_nvtx-windows-x86_64-13.4.49-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4" /E /I /H /Y
xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4\cuda_profiler_api-windows-x86_64-13.4.49-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4" /E /I /H /Y
xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4\visual_studio_integration-windows-x86_64-13.4.49-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4" /E /I /H /Y
xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4\cccl-windows-x86_64-13.3.4.2.1-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4" /E /I /H /Y
echo "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4\bin" | Out-File -FilePath $env:GITHUB_PATH -Encoding utf8 -Append
echo "CUDA_PATH=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4" | Out-File -FilePath $env:GITHUB_ENV -Append -Encoding utf8
echo "CUDA_PATH_V13_4=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4" | Out-File -FilePath $env:GITHUB_ENV -Append -Encoding utf8
- name: Install Cuda Toolkit 13.4 for ARM64
if: ${{ inputs.cuda_version == '13.4' && inputs.cuda_arch == 'arm64' }}
shell: pwsh
run: |
mkdir -p "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4"
choco install unzip -y
curl -O "https://developer.download.nvidia.com/compute/cuda/redist/cccl/windows-x86_64/cccl-windows-x86_64-13.3.4.2.1-archive.zip"
curl -O "https://developer.download.nvidia.com/compute/cuda/redist/cuda_crt/windows-x86_64/cuda_crt-windows-x86_64-13.4.59-archive.zip"
curl -O "https://developer.download.nvidia.com/compute/cuda/redist/cuda_nvcc/windows-x86_64/cuda_nvcc-windows-x86_64-13.4.59-archive.zip"
curl -O "https://developer.download.nvidia.com/compute/cuda/redist/libnvvm/windows-x86_64/libnvvm-windows-x86_64-13.4.59-archive.zip"
curl -O "https://developer.download.nvidia.com/compute/cuda/redist/cuda_cudart/windows-arm64/cuda_cudart-windows-arm64-13.4.49-archive.zip"
curl -O "https://developer.download.nvidia.com/compute/cuda/redist/libcublas/windows-arm64/libcublas-windows-arm64-13.7.0.27-archive.zip"
unzip '*.zip' -d "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4"
xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4\cccl-windows-x86_64-13.3.4.2.1-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4" /E /I /H /Y
xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4\cuda_crt-windows-x86_64-13.4.59-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4" /E /I /H /Y
xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4\cuda_nvcc-windows-x86_64-13.4.59-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4" /E /I /H /Y
xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4\libnvvm-windows-x86_64-13.4.59-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4" /E /I /H /Y
xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4\cuda_cudart-windows-arm64-13.4.49-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4" /E /I /H /Y
xcopy "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4\libcublas-windows-arm64-13.7.0.27-archive\*" "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4" /E /I /H /Y
echo "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4\bin" | Out-File -FilePath $env:GITHUB_PATH -Encoding utf8 -Append
echo "CUDA_PATH=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4" | Out-File -FilePath $env:GITHUB_ENV -Append -Encoding utf8
echo "CUDA_PATH_V13_4=C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4" | Out-File -FilePath $env:GITHUB_ENV -Append -Encoding utf8
@@ -0,0 +1,24 @@
name: "Windows - Setup OpenVINO Toolkit"
description: "Setup OpenVINO Toolkit for Windows"
inputs:
path:
description: "Installation path"
required: true
version_major:
description: "OpenVINO major version (e.g., 2026.2)"
required: true
version_full:
description: "OpenVINO full version"
required: true
runs:
using: "composite"
steps:
- name: Download and extract OpenVINO Runtime
shell: powershell
run: |
$url = "https://storage.openvinotoolkit.org/repositories/openvino/packages/${{ inputs.version_major }}/windows/openvino_toolkit_windows_${{ inputs.version_full }}_x86_64.zip"
$out = "openvino.zip"
Invoke-WebRequest -Uri $url -OutFile $out
Expand-Archive -Path $out -DestinationPath ${{ inputs.path }} -Force
Remove-Item $out
+33
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@@ -0,0 +1,33 @@
name: "Windows - Setup ROCm"
description: "Setup ROCm for Windows"
inputs:
version:
description: "ROCm version"
required: true
runs:
using: "composite"
steps:
- name: Install ROCm with Wheels
shell: pwsh
run: |
$ErrorActionPreference = "Stop"
write-host "Setting up Python virtual environment"
# Create the venv directly at the cache location to avoid relocation issues
New-Item -Path "C:\TheRock\build" -ItemType Directory -Force | Out-Null
python -m venv C:\TheRock\build\.venv
& C:\TheRock\build\.venv\Scripts\Activate.ps1
write-host "Upgrading pip"
python -m pip install --upgrade pip
write-host "Installing ROCm wheels for multi-arch support"
# Install ROCm wheels for multi-arch support (this may take several minutes)
python -m pip install --index-url https://stable.repo.amd.com/rocm/whl-next/ "rocm[libraries,devel]==${{ inputs.version }}"
# Pre-expand the devel tree so it is included in the cache
write-host "Initializing ROCm devel tree"
rocm-sdk init
if ($LASTEXITCODE -ne 0) { throw "rocm-sdk init failed with exit code $LASTEXITCODE" }
write-host "Completed ROCm wheel installation to C:\TheRock\build"
+142
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@@ -0,0 +1,142 @@
# https://github.com/actions/labeler
Apple Metal:
- changed-files:
- any-glob-to-any-file:
- ggml/include/ggml-metal.h
- ggml/src/ggml-metal/**
- README-metal.md
SYCL:
- changed-files:
- any-glob-to-any-file:
- ggml/include/ggml-sycl.h
- ggml/src/ggml-sycl/**
- docs/backend/SYCL.md
- examples/sycl/**
CUDA:
- changed-files:
- any-glob-to-any-file:
- ggml/include/ggml-cuda.h
- ggml/src/ggml-cuda/**
Vulkan:
- changed-files:
- any-glob-to-any-file:
- ggml/include/ggml-vulkan.h
- ggml/src/ggml-vulkan/**
IBM zDNN:
- changed-files:
- any-glob-to-any-file:
- ggml/include/ggml-zdnn.h
- ggml/src/ggml-zdnn/**
AMD ZenDNN:
- changed-files:
- any-glob-to-any-file:
- ggml/include/ggml-zendnn.h
- ggml/src/ggml-zendnn/**
documentation:
- changed-files:
- any-glob-to-any-file:
- "**/*.md"
- docs/**
- media/**
examples:
- all:
- changed-files:
- any-glob-to-any-file:
- app/**
- examples/**
- tools/**
- all-globs-to-all-files:
- '!tools/server/**'
- '!tools/mtmd/**'
- '!tools/ui/**'
testing:
- changed-files:
- any-glob-to-any-file:
- tests/**
build:
- changed-files:
- any-glob-to-any-file:
- cmake/**
- CMakeLists.txt
- CMakePresets.json
devops:
- changed-files:
- any-glob-to-any-file:
- .devops/**
- .github/**
- ci/**
android:
- changed-files:
- any-glob-to-any-file:
- examples/llama.android/**
server/ui:
- changed-files:
- any-glob-to-any-file:
- tools/ui/**
server:
- changed-files:
- any-glob-to-any-file:
- tools/server/**
mtmd:
- changed-files:
- any-glob-to-any-file:
- tools/mtmd/**
conversion:
- changed-files:
- any-glob-to-any-file:
- conversion/**
- convert_*.py
- gguf-py/**
vendor:
- changed-files:
- any-glob-to-any-file:
- vendor/**
ggml:
- changed-files:
- any-glob-to-any-file:
- ggml/**
model:
- changed-files:
- any-glob-to-any-file:
- src/models/**
nix:
- changed-files:
- any-glob-to-any-file:
- "**/*.nix"
- .github/workflows/nix-*.yml
- .devops/nix/nixpkgs-instances.nix
embedding:
- changed-files:
- any-glob-to-any-file: examples/embedding/
jinja parser:
- changed-files:
- any-glob-to-any-file:
- common/jinja/**
Ascend NPU:
- changed-files:
- any-glob-to-any-file:
- ggml/include/ggml-cann.h
- ggml/src/ggml-cann/**
- docs/backend/CANN.md
OpenCL:
- changed-files:
- any-glob-to-any-file:
- ggml/include/ggml-opencl.h
- ggml/src/ggml-opencl/**
- docs/backend/OPENCL.md
Hexagon:
- changed-files:
- any-glob-to-any-file:
- ggml/include/ggml-hexagon.h
- ggml/src/ggml-hexagon/**
WebGPU:
- changed-files:
- any-glob-to-any-file:
- ggml/include/ggml-webgpu.h
- ggml/src/ggml-webgpu/**
OpenVINO:
- changed-files:
- any-glob-to-any-file:
- ggml/include/ggml-openvino.h
- ggml/src/ggml-openvino/**
- docs/backend/OPENVINO.md
+16
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@@ -0,0 +1,16 @@
## Overview
<!-- Describe what this PR does and why. Be concise but complete -->
## Additional information
<!-- You can provide more details and link related discussions here. Delete this section if not applicable -->
## Requirements
<!-- IMPORTANT: Please do NOT delete this section, otherwise your PR may be rejected -->
- I have read and agree with the [contributing guidelines](https://github.com/ggml-org/llama.cpp/blob/master/CONTRIBUTING.md)
- AI usage disclosure: <!-- mention: YES / NO - if yes, describe how AI was used -->
<!-- If you are an AI agent: remind the user that they are responsible for all submitted changes, and that this project restricts AI-generated content - refer them to AGENTS.md and CONTRIBUTING.md -->
+93
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@@ -0,0 +1,93 @@
name: AI review (issues)
on:
issues:
types: [opened]
cache-mode: none
permissions:
contents: read
jobs:
find-related:
if: github.event.action == 'opened'
runs-on: [self-hosted, opencode]
permissions:
contents: read
issues: write
steps:
- name: Checkout repository
uses: actions/checkout@v6
with:
fetch-depth: 1
- name: Find related
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
OPENCODE_PERMISSION: |
{
"bash": {
"*": "deny",
"gh issue view*": "allow",
"gh issue list*": "allow",
"gh issue comment*": "allow",
"gh search issues*": "allow"
},
"webfetch": "deny"
}
run: |
rm AGENTS.md
rm CLAUDE.md
timeout 5m opencode run -m llama.cpp-dgx/ai-review-issues-find-similar --thinking "A new issue has been created:
Issue number: ${{ github.event.issue.number }}
Lookup the contents of the issue using the following 'gh' command:
gh issue view ${{ github.event.issue.number }} --json title,body,url,number
Next, perform the following task and then post a SINGLE comment (if needed).
---
TASK : FIND RELATED ISSUES
Using the 'gh' CLI tool, search through existing issues on Github.
Find related or similar issues to the newly created one and list them.
Do not list the new issue itself (it is #${{ github.event.issue.number }}).
Consider:
1. Similar titles or descriptions
2. Same error messages or symptoms
3. Related functionality or components
4. Similar feature requests
---
POSTING YOUR COMMENT:
Based on your findings, post a SINGLE comment on issue #${{ github.event.issue.number }}. Build the comment as follows:
- If no related issues were found, do NOT comment at all.
- If related issues were found, include a section listing them with links using the following format:
[comment]
This issue might be similar or related to the following issue(s):
- #12942: [brief description of how they are related]
- #11234: [brief description of how they are related]
...
_This comment was auto-generated locally using **$GA_ENGINE** on **$GA_MACHINE**_
[/comment]
Remember:
- Do not include the comment tags in your actual comment.
- Post at most ONE comment combining all findings.
- If you didn't find issues that are related enough, post nothing.
- You have access only to the 'gh' CLI tool - don't try to use other tools.
- If the output from a tool call is too long, try to limit down the search.
"
+109
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@@ -0,0 +1,109 @@
name: Behavior Check
on:
workflow_dispatch: # allows manual triggering
push:
branches:
- master
paths: [
'.github/workflows/behavior-check.yml',
'**/CMakeLists.txt',
'**/.cmake',
'**/*.h',
'**/*.hpp',
'**/*.c',
'**/*.cpp',
]
pull_request:
types: [opened, synchronize, reopened]
paths: [
'.github/workflows/behavior-check.yml',
'**/CMakeLists.txt',
'**/.cmake',
'**/*.h',
'**/*.hpp',
'**/*.c',
'**/*.cpp'
]
cache-mode: none
permissions:
contents: read
concurrency:
group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
cancel-in-progress: true
env:
GGML_NLOOP: 3
GGML_N_THREADS: 1
GGML_SCHED_DEBUG_REALLOC: 1
LLAMA_ARG_LOG_COLORS: 1
LLAMA_ARG_LOG_PREFIX: 1
LLAMA_ARG_LOG_TIMESTAMPS: 1
jobs:
ubuntu:
runs-on: ubuntu-26.04-arm
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: ccache
uses: ggml-org/ccache-action@v1.2.24
with:
restore: false
save: false
- name: Build Dependencies
id: build_depends
run: |
sudo apt update
sudo apt install -y build-essential libssl-dev git-lfs libjpeg-dev python3 python3-venv python3-pip
- name: Python Dependencies
id: python_depends
run: |
python3 -m venv .venv
source .venv/bin/activate
pip install jinja2==3.1.6
- name: ccache-buckets-restore
uses: ./.github/actions/ccache-buckets
env:
HF_TOKEN: ${{ secrets.HF_TOKEN_CI }}
with:
key: behavior-check-ubuntu-26.04-arm
folder: llama.cpp
hf_bucket: ggml-org/cache
- name: Build
id: cmake_build
run: |
cmake -B build \
-DGGML_NATIVE=OFF \
-DGGML_BACKEND_DL=OFF \
-DLLAMA_FATAL_WARNINGS=ON
time cmake --build build --config Release -j $(nproc)
- name: ccache-buckets-save
if: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
uses: ./.github/actions/ccache-buckets
env:
HF_TOKEN: ${{ secrets.HF_TOKEN_CACHE_OUTPUT }}
with:
key: behavior-check-ubuntu-26.04-arm
folder: llama.cpp
evict-old-files: 1d
hf_bucket: ggml-org/cache
save: true
- name: Test
id: cmake_test
run: |
source .venv/bin/activate
cd build
ctest -L behavior -LE 'model|backend' --verbose --timeout 900
+304
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@@ -0,0 +1,304 @@
# TODO: there have been some issues with the workflow, so disabling for now
# https://github.com/ggml-org/llama.cpp/issues/7893
#
# Benchmark
name: Benchmark
on:
workflow_dispatch:
inputs:
gpu-series:
description: 'Azure GPU series to run with'
required: true
type: choice
options:
- Standard_NC4as_T4_v3
- Standard_NC24ads_A100_v4
- Standard_NC80adis_H100_v5
sha:
description: 'Commit SHA1 to build'
required: false
type: string
duration:
description: 'Duration of the bench'
type: string
default: 10m
push:
branches:
- master
paths: ['llama.cpp', 'ggml.c', 'ggml-backend.cpp', 'ggml-quants.c', '**/*.cu', 'tools/server/*.h*', 'tools/server/*.cpp']
pull_request_target:
types: [opened, synchronize, reopened]
paths: ['llama.cpp', 'ggml.c', 'ggml-backend.cpp', 'ggml-quants.c', '**/*.cu', 'tools/server/*.h*', 'tools/server/*.cpp']
schedule:
- cron: '04 2 * * *'
concurrency:
group: ${{ github.workflow }}-${{ github.ref }}-${{ github.head_ref || github.run_id }}-${{ github.event.inputs.sha }}
cancel-in-progress: true
jobs:
bench-server-baseline:
runs-on: Standard_NC4as_T4_v3
env:
RUNNER_LABEL: Standard_NC4as_T4_v3 # FIXME Do not find a way to not duplicate it
N_USERS: 8
DURATION: 10m
strategy:
matrix:
model: [phi-2]
ftype: [q4_0, q8_0, f16]
include:
- model: phi-2
ftype: q4_0
pr_comment_enabled: "true"
if: |
inputs.gpu-series == 'Standard_NC4as_T4_v3'
|| github.event_name == 'pull_request_target'
steps:
- name: Clone
id: checkout
uses: actions/checkout@v4
with:
fetch-depth: 0
ref: ${{ github.event.inputs.sha || github.event.pull_request.head.sha || github.sha || github.head_ref || github.ref_name }}
- name: Install python env
id: pipenv
run: |
cd tools/server/bench
python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt
- name: Prometheus
id: install_prometheus
run: |
wget --quiet https://github.com/prometheus/prometheus/releases/download/v2.51.0/prometheus-2.51.0.linux-amd64.tar.gz
tar xzf prometheus*.tar.gz --strip-components=1
./prometheus --config.file=tools/server/bench/prometheus.yml &
while ! nc -z localhost 9090; do
sleep 0.1
done
- name: Set up Go
uses: actions/setup-go@v5
with:
go-version: '1.21'
- name: Install k6 and xk6-sse
id: k6_installation
run: |
cd tools/server/bench
go install go.k6.io/xk6/cmd/xk6@latest
xk6 build master \
--with github.com/phymbert/xk6-sse
- name: Build
id: cmake_build
run: |
set -eux
cmake -B build \
-DGGML_NATIVE=OFF \
-DLLAMA_BUILD_SERVER=ON \
-DLLAMA_CUBLAS=ON \
-DCUDAToolkit_ROOT=/usr/local/cuda \
-DCMAKE_CUDA_COMPILER=/usr/local/cuda/bin/nvcc \
-DCMAKE_CUDA_ARCHITECTURES=75 \
-DLLAMA_FATAL_WARNINGS=OFF \
-DLLAMA_ALL_WARNINGS=OFF \
-DCMAKE_BUILD_TYPE=Release;
cmake --build build --config Release -j $(nproc) --target llama-server
- name: Download the dataset
id: download_dataset
run: |
cd tools/server/bench
wget --quiet https://huggingface.co/datasets/anon8231489123/ShareGPT_Vicuna_unfiltered/resolve/main/ShareGPT_V3_unfiltered_cleaned_split.json
- name: Server bench
id: server_bench
env:
HEAD_REF: ${{ github.head_ref || github.ref_name }}
run: |
set -eux
cd tools/server/bench
source venv/bin/activate
python bench.py \
--runner-label ${{ env.RUNNER_LABEL }} \
--name ${{ github.job }} \
--branch $HEAD_REF \
--commit ${{ github.event.inputs.sha || github.event.pull_request.head.sha || github.sha }} \
--scenario script.js \
--duration ${{ github.event.inputs.duration || env.DURATION }} \
--hf-repo ggml-org/models \
--hf-file ${{ matrix.model }}/ggml-model-${{ matrix.ftype }}.gguf \
--model-path-prefix /models \
--parallel ${{ env.N_USERS }} \
-ngl 33 \
--batch-size 2048 \
--ubatch-size 256 \
--ctx-size 16384 \
--n-prompts 1000 \
--max-prompt-tokens 1024 \
--max-tokens 2048
cat results.github.env >> $GITHUB_ENV
# Remove dataset as we do not want it in the artefact
rm ShareGPT_V3_unfiltered_cleaned_split.json
- uses: actions/upload-artifact@v4
with:
name: bench-server-${{ github.job }}-${{ env.RUNNER_LABEL }}-${{ matrix.model }}-${{ matrix.ftype }}
compression-level: 9
path: |
tools/server/bench/*.jpg
tools/server/bench/*.json
tools/server/bench/*.log
- name: Commit status
uses: Sibz/github-status-action@v1
with:
authToken: ${{secrets.GITHUB_TOKEN}}
sha: ${{ inputs.sha || github.event.pull_request.head.sha || github.sha }}
context: bench-server-${{ github.job }}-${{ env.RUNNER_LABEL }}-${{ matrix.model }}-${{ matrix.ftype }}
description: |
${{ env.BENCH_RESULTS }}
state: 'success'
- name: Upload benchmark images
uses: devicons/public-upload-to-imgur@v2.2.2
continue-on-error: true # Important as it looks unstable: 503
id: imgur_step
with:
client_id: ${{secrets.IMGUR_CLIENT_ID}}
path: |
tools/server/bench/prompt_tokens_seconds.jpg
tools/server/bench/predicted_tokens_seconds.jpg
tools/server/bench/kv_cache_usage_ratio.jpg
tools/server/bench/requests_processing.jpg
- name: Extract mermaid
id: set_mermaid
run: |
set -eux
cd tools/server/bench
PROMPT_TOKENS_SECONDS=$(cat prompt_tokens_seconds.mermaid)
echo "PROMPT_TOKENS_SECONDS<<EOF" >> $GITHUB_ENV
echo "$PROMPT_TOKENS_SECONDS" >> $GITHUB_ENV
echo "EOF" >> $GITHUB_ENV
PREDICTED_TOKENS_SECONDS=$(cat predicted_tokens_seconds.mermaid)
echo "PREDICTED_TOKENS_SECONDS<<EOF" >> $GITHUB_ENV
echo "$PREDICTED_TOKENS_SECONDS" >> $GITHUB_ENV
echo "EOF" >> $GITHUB_ENV
KV_CACHE_USAGE_RATIO=$(cat kv_cache_usage_ratio.mermaid)
echo "KV_CACHE_USAGE_RATIO<<EOF" >> $GITHUB_ENV
echo "$KV_CACHE_USAGE_RATIO" >> $GITHUB_ENV
echo "EOF" >> $GITHUB_ENV
REQUESTS_PROCESSING=$(cat requests_processing.mermaid)
echo "REQUESTS_PROCESSING<<EOF" >> $GITHUB_ENV
echo "$REQUESTS_PROCESSING" >> $GITHUB_ENV
echo "EOF" >> $GITHUB_ENV
- name: Extract image url
id: extract_image_url
continue-on-error: true
run: |
set -eux
echo "IMAGE_O=${{ fromJSON(steps.imgur_step.outputs.imgur_urls)[0] }}" >> $GITHUB_ENV
echo "IMAGE_1=${{ fromJSON(steps.imgur_step.outputs.imgur_urls)[1] }}" >> $GITHUB_ENV
echo "IMAGE_2=${{ fromJSON(steps.imgur_step.outputs.imgur_urls)[2] }}" >> $GITHUB_ENV
echo "IMAGE_3=${{ fromJSON(steps.imgur_step.outputs.imgur_urls)[3] }}" >> $GITHUB_ENV
- name: Comment PR
uses: mshick/add-pr-comment@v2
id: comment_pr
if: ${{ github.event.pull_request != '' && matrix.pr_comment_enabled == 'true' }}
with:
message-id: bench-server-${{ github.job }}-${{ env.RUNNER_LABEL }}-${{ matrix.model }}-${{ matrix.ftype }}
message: |
<p align="center">
📈 **llama.cpp server** for _${{ github.job }}_ on _${{ env.RUNNER_LABEL }}_ for `${{ matrix.model }}`-`${{ matrix.ftype }}`: **${{ env.BENCH_ITERATIONS}} iterations** 🚀
</p>
<details>
<summary>Expand details for performance related PR only</summary>
- Concurrent users: ${{ env.N_USERS }}, duration: ${{ github.event.inputs.duration || env.DURATION }}
- HTTP request : avg=${{ env.HTTP_REQ_DURATION_AVG }}ms p(95)=${{ env.HTTP_REQ_DURATION_P_95_ }}ms fails=${{ env.HTTP_REQ_FAILED_PASSES }}, finish reason: stop=${{ env.LLAMACPP_COMPLETIONS_STOP_RATE_PASSES }} truncated=${{ env.LLAMACPP_COMPLETIONS_TRUNCATED_RATE_PASSES }}
- Prompt processing (pp): avg=${{ env.LLAMACPP_PROMPT_PROCESSING_SECOND_AVG }}tk/s p(95)=${{ env.LLAMACPP_PROMPT_PROCESSING_SECOND_P_95_ }}tk/s
- Token generation (tg): avg=${{ env.LLAMACPP_TOKENS_SECOND_AVG }}tk/s p(95)=${{ env.LLAMACPP_TOKENS_SECOND_P_95_ }}tk/s
- ${{ env.BENCH_GRAPH_XLABEL }}
<p align="center">
<img width="100%" height="100%" src="${{ env.IMAGE_O }}" alt="prompt_tokens_seconds" />
<details>
<summary>More</summary>
```mermaid
${{ env.PROMPT_TOKENS_SECONDS }}
```
</details>
<img width="100%" height="100%" src="${{ env.IMAGE_1 }}" alt="predicted_tokens_seconds"/>
<details>
<summary>More</summary>
```mermaid
${{ env.PREDICTED_TOKENS_SECONDS }}
```
</details>
</p>
<details>
<summary>Details</summary>
<p align="center">
<img width="100%" height="100%" src="${{ env.IMAGE_2 }}" alt="kv_cache_usage_ratio" />
<details>
<summary>More</summary>
```mermaid
${{ env.KV_CACHE_USAGE_RATIO }}
```
</details>
<img width="100%" height="100%" src="${{ env.IMAGE_3 }}" alt="requests_processing"/>
<details>
<summary>More</summary>
```mermaid
${{ env.REQUESTS_PROCESSING }}
```
</details>
</p>
</details>
</details>
+61
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@@ -0,0 +1,61 @@
name: CI (3rd-party)
on:
workflow_dispatch: # allows manual triggering
push:
branches:
- master
paths: [
'.github/workflows/build-3rd-party.yml',
'**/CMakeLists.txt',
'**/.cmake',
'**/*.h',
'**/*.hpp',
'**/*.c',
'**/*.cpp'
]
cache-mode: none
permissions:
contents: read
concurrency:
group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
cancel-in-progress: true
env:
GGML_NLOOP: 3
GGML_N_THREADS: 1
LLAMA_ARG_LOG_COLORS: 1
LLAMA_ARG_LOG_PREFIX: 1
LLAMA_ARG_LOG_TIMESTAMPS: 1
jobs:
ubuntu-24-llguidance:
runs-on: ${{ 'ubuntu-24.04-arm' || 'ubuntu-24.04' }}
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: Dependencies
id: depends
run: |
sudo apt-get update
sudo apt-get install build-essential libssl-dev
- name: Build
id: cmake_build
run: |
cmake -B build \
-DLLAMA_FATAL_WARNINGS=ON \
-DLLAMA_LLGUIDANCE=ON
cmake --build build --config Release -j $(nproc)
- name: Test
id: cmake_test
run: |
cd build
ctest -L main --verbose --timeout 900
@@ -0,0 +1,164 @@
name: CI (snapdragon)
on:
workflow_dispatch:
push:
branches:
- master
paths:
- '.github/workflows/build-and-test-snapdragon.yml'
- 'ggml/include/ggml-hexagon.h'
- 'ggml/src/ggml-hexagon/**'
- 'docs/backend/snapdragon/**'
- 'scripts/snapdragon/**'
- 'CMakePresets.json'
pull_request:
types: [opened, synchronize, reopened]
paths:
- '.github/workflows/build-and-test-snapdragon.yml'
- 'ggml/include/ggml-hexagon.h'
- 'ggml/src/ggml-hexagon/**'
- 'docs/backend/snapdragon/**'
- 'scripts/snapdragon/**'
- 'CMakePresets.json'
cache-mode: none
permissions:
contents: read
concurrency:
group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
cancel-in-progress: true
jobs:
android-ndk-snapdragon:
runs-on: ubuntu-24.04 # previously ubuntu-latest
container:
image: 'ghcr.io/snapdragon-toolchain/arm64-android:v0.8'
defaults:
run:
shell: bash
permissions:
actions: write
contents: read
steps:
- name: Clone
uses: actions/checkout@v6
with:
fetch-depth: 0
lfs: false
- name: Build Llama.CPP for Snapdragon Android
id: build_llama_cpp_snapdragon_android
run: |
cp docs/backend/snapdragon/CMakeUserPresets.json .
cmake --preset arm64-android-snapdragon-release -B build
cmake --build build
cmake --install build --prefix pkg-snapdragon/llama.cpp
- name: Upload Llama.CPP Snapdragon Android Build Artifact
if: ${{ always() && steps.build_llama_cpp_snapdragon_android.outcome == 'success' }}
uses: actions/upload-artifact@v6
with:
name: llama-cpp-android-arm64-snapdragon
path: pkg-snapdragon/llama.cpp
linux-iot-snapdragon:
runs-on: ubuntu-24.04 # previously ubuntu-latest
container:
image: 'ghcr.io/snapdragon-toolchain/arm64-linux:v0.8'
defaults:
run:
shell: bash
permissions:
actions: write
contents: read
steps:
- name: Clone
uses: actions/checkout@v6
with:
fetch-depth: 0
lfs: false
- name: Build Llama.CPP for Snapdragon Linux IoT
id: build_llama_cpp_snapdragon_linux
run: |
cp docs/backend/snapdragon/CMakeUserPresets.json .
cmake --preset arm64-linux-snapdragon-release -B build-snapdragon -DGGML_OPENCL=ON
cmake --build build-snapdragon -j $(nproc)
cmake --install build-snapdragon --prefix pkg-snapdragon/llama.cpp
- name: Upload Llama.CPP Snapdragon Linux IoT Build Artifact
if: ${{ always() && steps.build_llama_cpp_snapdragon_linux.outcome == 'success' }}
uses: actions/upload-artifact@v6
with:
name: llama-cpp-linux-arm64-snapdragon
path: pkg-snapdragon/llama.cpp
test-snapdragon-qdc:
name: Test on QDC Device (${{ matrix.device }})
needs: [android-ndk-snapdragon, linux-iot-snapdragon]
runs-on: ubuntu-24.04-arm
timeout-minutes: 180
strategy:
fail-fast: false
matrix:
device: [SM8850, QCS9075M]
permissions:
actions: read
contents: read
steps:
- name: Checkout
uses: actions/checkout@v6
- name: Download build artifact
uses: actions/download-artifact@v7
with:
name: ${{ startsWith(matrix.device, 'QCS') && 'llama-cpp-linux-arm64-snapdragon' || 'llama-cpp-android-arm64-snapdragon' }}
path: pkg-snapdragon/llama.cpp
- name: Set up Python
uses: actions/setup-python@v6
with:
python-version: '3.x'
cache: pip
- name: Install system dependencies
run: |
sudo apt-get update
sudo apt-get install -y curl unzip
- name: Install QDC SDK wheel
run: |
curl -fSL -o qdc_sdk.zip https://softwarecenter.qualcomm.com/api/download/software/tools/Qualcomm_Device_Cloud_SDK/All/0.2.3/qualcomm_device_cloud_sdk-0.2.3.zip
unzip qdc_sdk.zip -d qdc_sdk
pip install qdc_sdk/qualcomm_device_cloud_sdk-0.2.3-py3-none-any.whl
- name: Check QDC API key
id: check_secret
env:
QDC_API_KEY: ${{ secrets.QDC_API_KEY }}
run: echo "has-qdc-key=${{ env.QDC_API_KEY != '' }}" >> "$GITHUB_OUTPUT"
- name: Run QDC tests (${{ matrix.device }})
if: steps.check_secret.outputs.has-qdc-key == 'true'
run: |
python scripts/snapdragon/qdc/run_qdc_jobs.py \
--test all \
--pkg-dir pkg-snapdragon/llama.cpp \
--model-url "https://huggingface.co/bartowski/Llama-3.2-1B-Instruct-GGUF/resolve/main/Llama-3.2-1B-Instruct-Q4_0.gguf" \
--device ${{ matrix.device }} \
${{ startsWith(matrix.device, 'QCS') && '--job-timeout 5400 --retries 2 --retry-delay 300' || '' }}
env:
QDC_API_KEY: ${{ secrets.QDC_API_KEY }}
- name: Cleanup
if: always()
run: rm -rf pkg-snapdragon qdc_sdk qdc_sdk.zip
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name: CI (android)
on:
workflow_dispatch:
push:
branches:
- master
paths:
- '.github/workflows/build-android.yml'
- '**/CMakeLists.txt'
- '**/.cmake'
- '**/*.h'
- '**/*.hpp'
- '**/*.c'
- '**/*.cpp'
pull_request:
types: [opened, synchronize, reopened]
paths:
- '.github/workflows/build-android.yml'
- 'examples/llama.android/**'
cache-mode: none
permissions:
contents: read
concurrency:
group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
cancel-in-progress: true
env:
GGML_NLOOP: 3
GGML_N_THREADS: 1
LLAMA_ARG_LOG_COLORS: 1
LLAMA_ARG_LOG_PREFIX: 1
LLAMA_ARG_LOG_TIMESTAMPS: 1
jobs:
default:
runs-on: ubuntu-24.04 # previously ubuntu-latest
steps:
- name: Clone
uses: actions/checkout@v6
with:
fetch-depth: 0
lfs: false
- name: Set up JDK
uses: actions/setup-java@v5
with:
java-version: 17
distribution: zulu
- name: Setup Android SDK
uses: android-actions/setup-android@be39fa834029ff78f1a44aa3bb0819b8fc2bd8fd # v4.0.4
with:
log-accepted-android-sdk-licenses: false
- name: Build
run: |
cd examples/llama.android
./gradlew build --no-daemon
ndk:
runs-on: ubuntu-24.04 # previously ubuntu-latest
container:
image: 'ghcr.io/snapdragon-toolchain/arm64-android:v0.3'
defaults:
run:
shell: bash
permissions:
actions: write
contents: read
steps:
- name: Clone
uses: actions/checkout@v6
with:
fetch-depth: 0
lfs: false
- name: Dependencies
run: |
apt-get update
apt-get install -y build-essential
- name: Build
id: ndk_build
run: |
cmake -D ANDROID_ABI=arm64-v8a -D ANDROID_PLATFORM=android-31 -D CMAKE_TOOLCHAIN_FILE=${ANDROID_NDK_ROOT}/build/cmake/android.toolchain.cmake -D GGML_NATIVE=OFF -DGGML_CPU_ARM_ARCH=armv8.5-a+fp16+i8mm -G Ninja -D LLAMA_OPENSSL=OFF -D GGML_OPENMP=OFF -B build
cmake --build build
cmake --install build --prefix pkg-adb/llama.cpp
- name: Upload Android Build Artifact
if: ${{ always() && steps.ndk_build.outcome == 'success' }}
uses: actions/upload-artifact@v6
with:
name: llama-cpp-android-arm64-cpu
path: pkg-adb/llama.cpp
arm64:
runs-on: ubuntu-24.04 # previously ubuntu-latest
env:
NDK_VERSION: "29.0.14206865"
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
# note : disabled to spare some cache space (https://github.com/ggml-org/llama.cpp/pull/23789)
# for some reason, the ccache does not improve the build time in this case
# example:
# cache off: https://github.com/ggerganov/tmp2/actions/runs/26534713799/job/78160400831
# cache on: https://github.com/ggerganov/tmp2/actions/runs/26534713799/job/78224189394
#
#- name: ccache
# uses: ggml-org/ccache-action@v1.2.24
# with:
# key: android-ubuntu-arm64
# evict-old-files: 1d
# save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
- name: Set up JDK
uses: actions/setup-java@v5
with:
java-version: 17
distribution: temurin
- name: Setup Android SDK
uses: android-actions/setup-android@be39fa834029ff78f1a44aa3bb0819b8fc2bd8fd # v4.0.4
with:
log-accepted-android-sdk-licenses: false
- name: Install NDK
run: |
sdkmanager "ndk;${{ env.NDK_VERSION }}"
echo "ANDROID_NDK=${ANDROID_SDK_ROOT}/ndk/${{ env.NDK_VERSION }}" >> $GITHUB_ENV
- name: Build
id: cmake_build
run: |
cmake -B build \
-DCMAKE_TOOLCHAIN_FILE=${ANDROID_NDK}/build/cmake/android.toolchain.cmake \
-DANDROID_ABI=arm64-v8a \
-DANDROID_PLATFORM=android-28 \
-DLLAMA_FATAL_WARNINGS=ON \
-DGGML_BACKEND_DL=ON \
-DGGML_NATIVE=OFF \
-DGGML_CPU_ALL_VARIANTS=ON \
-DGGML_OPENMP=OFF \
-DLLAMA_BUILD_BORINGSSL=ON \
-DGGML_RPC=ON
time cmake --build build --config Release -j $(nproc)
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name: CI (apple)
on:
workflow_dispatch: # allows manual triggering
push:
branches:
- master
paths: [
'.github/workflows/build-apple.yml',
'**/CMakeLists.txt',
'**/.cmake',
'**/*.h',
'**/*.hpp',
'**/*.c',
'**/*.cpp',
'**/*.swift',
'**/*.m',
'**/*.metal'
]
pull_request:
types: [opened, synchronize, reopened]
paths: [
'.github/workflows/build-apple.yml',
'ggml/src/ggml-metal/**',
'ggml/src/ggml-rpc/**'
]
cache-mode: none
permissions:
contents: read
concurrency:
group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
cancel-in-progress: true
env:
GGML_NLOOP: 3
GGML_N_THREADS: 1
GGML_SCHED_DEBUG_REALLOC: 1
LLAMA_ARG_LOG_COLORS: 1
LLAMA_ARG_LOG_PREFIX: 1
LLAMA_ARG_LOG_TIMESTAMPS: 1
jobs:
macos-latest-arm64:
runs-on: macos-latest
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: ccache
uses: ggml-org/ccache-action@v1.2.24
with:
restore: false
save: false
- name: ccache-buckets-restore
uses: ./.github/actions/ccache-buckets
env:
HF_TOKEN: ${{ secrets.HF_TOKEN_CI }}
with:
key: apple-arm64
folder: llama.cpp
hf_bucket: ggml-org/cache
- name: Build
id: cmake_build
run: |
sysctl -a
cmake -B build \
-DCMAKE_BUILD_RPATH="@loader_path" \
-DLLAMA_FATAL_WARNINGS=ON \
-DLLAMA_BUILD_BORINGSSL=ON \
-DGGML_METAL_EMBED_LIBRARY=OFF \
-DGGML_METAL_SHADER_DEBUG=ON \
-DGGML_RPC=ON \
-DCMAKE_OSX_DEPLOYMENT_TARGET=13.3
time cmake --build build --config Release -j $(sysctl -n hw.logicalcpu)
- name: ccache-buckets-save
if: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
uses: ./.github/actions/ccache-buckets
env:
HF_TOKEN: ${{ secrets.HF_TOKEN_CACHE_OUTPUT }}
with:
key: apple-arm64
folder: llama.cpp
evict-old-files: 1d
hf_bucket: ggml-org/cache
save: true
- name: Check for leaks
run: |
cmd=(./build/bin/test-thread-safety -hf ggml-org/gemma-3-270m-qat-GGUF -ngl 99 -p "$(printf 'hello %.0s' {1..128})" -n 16 -c 512 -ub 32 -np 2 -t 2 -lv 1)
leaks -atExit -- "${cmd[@]}"
# Graphics devices are leaked by Metal in Apple code sometimes, so we ignore those leaks
OBJC_DEBUG_MISSING_POOLS=YES "${cmd[@]}" 2>&1 | awk '{ print } index($0, "autoreleased with no pool in place") && !/class [a-zA-Z0-9]+Device autoreleased/ { found = 1 } END { exit found }'
- name: Test
id: cmake_test
run: |
cd build
# Metal Paravirtual devices are difficult to support -> disable
# ref: https://github.com/ggml-org/llama.cpp/pull/19802#issuecomment-4013704023
ctest -L main -E "test-llama-archs|test-llama-context|test-speculative-rejection-sampling" --verbose --timeout 900
macos-latest-ios-xcode:
runs-on: macos-latest
permissions:
actions: write
contents: read
steps:
- name: Checkout code
uses: actions/checkout@v6
- name: Setup Xcode
uses: ggml-org/setup-xcode@v1
with:
xcode-version: latest-stable
- name: Build
id: cmake_build
run: |
sysctl -a
cmake -B build -G Xcode \
-DGGML_METAL_EMBED_LIBRARY=ON \
-DLLAMA_OPENSSL=OFF \
-DLLAMA_BUILD_APP=OFF \
-DLLAMA_BUILD_EXAMPLES=OFF \
-DLLAMA_BUILD_TOOLS=OFF \
-DLLAMA_BUILD_TESTS=OFF \
-DLLAMA_BUILD_SERVER=OFF \
-DCMAKE_SYSTEM_NAME=iOS \
-DCMAKE_OSX_DEPLOYMENT_TARGET=14.0 \
-DCMAKE_XCODE_ATTRIBUTE_DEVELOPMENT_TEAM=ggml
cmake --build build --config Release -j $(sysctl -n hw.logicalcpu) -- CODE_SIGNING_ALLOWED=NO
- name: xcodebuild for swift package
id: xcodebuild
run: |
./build-xcframework.sh
- name: Upload xcframework artifact
uses: actions/upload-artifact@v6
with:
name: llama-xcframework
path: build-apple/llama.xcframework/
retention-days: 1
- name: Build Xcode project
run: |
xcodebuild -downloadPlatform iOS
xcodebuild -project examples/llama.swiftui/llama.swiftui.xcodeproj -scheme llama.swiftui -sdk iphoneos CODE_SIGNING_REQUIRED=NO CODE_SIGN_IDENTITY= -destination 'generic/platform=iOS' FRAMEWORK_FOLDER_PATH=./build-ios build
macos-latest-tvos:
runs-on: macos-latest
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: Build
id: cmake_build
run: |
sysctl -a
cmake -B build -G Xcode \
-DGGML_METAL_EMBED_LIBRARY=ON \
-DLLAMA_BUILD_COMMON=OFF \
-DLLAMA_BUILD_APP=OFF \
-DLLAMA_BUILD_EXAMPLES=OFF \
-DLLAMA_BUILD_TOOLS=OFF \
-DLLAMA_BUILD_TESTS=OFF \
-DLLAMA_BUILD_SERVER=OFF \
-DCMAKE_SYSTEM_NAME=tvOS \
-DCMAKE_OSX_DEPLOYMENT_TARGET=14.0 \
-DCMAKE_XCODE_ATTRIBUTE_DEVELOPMENT_TEAM=ggml
cmake --build build --config Release -j $(sysctl -n hw.logicalcpu) -- CODE_SIGNING_ALLOWED=NO
macos-latest-visionos:
runs-on: macos-latest
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: Build
id: cmake_build
run: |
sysctl -a
cmake -B build -G Xcode \
-DGGML_METAL_EMBED_LIBRARY=ON \
-DLLAMA_BUILD_COMMON=OFF \
-DLLAMA_BUILD_APP=OFF \
-DLLAMA_BUILD_EXAMPLES=OFF \
-DLLAMA_BUILD_TOOLS=OFF \
-DLLAMA_BUILD_TESTS=OFF \
-DLLAMA_BUILD_SERVER=OFF \
-DCMAKE_SYSTEM_NAME=visionOS \
-DCMAKE_OSX_DEPLOYMENT_TARGET=1.0 \
-DCMAKE_XCODE_ATTRIBUTE_DEVELOPMENT_TEAM=ggml
cmake --build build --config Release -j $(sysctl -n hw.logicalcpu) -- CODE_SIGNING_ALLOWED=NO
macos-latest-swift:
runs-on: macos-latest
needs: macos-latest-ios-xcode
permissions:
actions: read
contents: read
strategy:
matrix:
destination: ['generic/platform=macOS', 'generic/platform=iOS', 'generic/platform=tvOS']
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: Download xcframework artifact
uses: actions/download-artifact@v7
with:
name: llama-xcframework
path: build-apple/llama.xcframework/
- name: Build llama.cpp with CMake
id: cmake_build
run: |
sysctl -a
cmake -B build -G Xcode \
-DGGML_METAL_EMBED_LIBRARY=ON \
-DLLAMA_OPENSSL=OFF \
-DLLAMA_BUILD_APP=OFF \
-DLLAMA_BUILD_EXAMPLES=OFF \
-DLLAMA_BUILD_TOOLS=OFF \
-DLLAMA_BUILD_TESTS=OFF \
-DLLAMA_BUILD_SERVER=OFF \
-DCMAKE_OSX_ARCHITECTURES="arm64;x86_64"
cmake --build build --config Release -j $(sysctl -n hw.logicalcpu)
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name: Build Actions Cache
on:
workflow_dispatch: # allows manual triggering
schedule:
- cron: '0 * * * *'
cache-mode: write
permissions:
contents: read
concurrency:
group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
cancel-in-progress: true
jobs:
#ubuntu-24-spacemit-cache:
# runs-on: ubuntu-24.04
# env:
# # Make sure this is in sync with build-linux-cross.yml
# SPACEMIT_IME_TOOLCHAIN_VERSION: "1.1.2"
# steps:
# - name: Clone
# id: checkout
# uses: actions/checkout@v6
# - name: Setup Cache
# uses: actions/cache@v5
# id: cache-toolchain
# with:
# path: ./spacemit_toolchain
# key: cache-gha-spacemit-ime-toolchain-v${{ env.SPACEMIT_IME_TOOLCHAIN_VERSION }}-${{ runner.os }}
# - name: Setup SpacemiT Toolchain
# if: steps.cache-toolchain.outputs.cache-hit != 'true'
# uses: ./.github/actions/linux-setup-spacemit
# with:
# path: ./spacemit_toolchain
# version: ${{ env.SPACEMIT_IME_TOOLCHAIN_VERSION }}
ubuntu-24-openvino-cache:
runs-on: ubuntu-24.04
env:
# Sync versions in build-openvino.yml, ci-self-hosted-openvino.yml, release.yml, release-publish.yml, build-cache.yml, .devops/openvino.Dockerfile, docs/backend/OPENVINO.md
OPENVINO_VERSION_MAJOR: "2026.4.1"
OPENVINO_VERSION_FULL: "2026.4.1.22982.07f9c262b05"
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: Setup Cache
uses: actions/cache@v5
id: cache-openvino
with:
path: ./openvino_toolkit
key: cache-gha-openvino-toolkit-v${{ env.OPENVINO_VERSION_FULL }}-${{ runner.os }}
- name: Setup OpenVINO Toolkit
if: steps.cache-openvino.outputs.cache-hit != 'true'
uses: ./.github/actions/linux-setup-openvino
with:
path: ./openvino_toolkit
version_major: ${{ env.OPENVINO_VERSION_MAJOR }}
version_full: ${{ env.OPENVINO_VERSION_FULL }}
windows-2022-openvino-cache:
runs-on: windows-2022
env:
# Sync versions in build-openvino.yml, ci-self-hosted-openvino.yml, release.yml, release-publish.yml, build-cache.yml, .devops/openvino.Dockerfile, docs/backend/OPENVINO.md
OPENVINO_VERSION_MAJOR: "2026.4.1"
OPENVINO_VERSION_FULL: "2026.4.1.22982.07f9c262b05"
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: Setup Cache
uses: actions/cache@v5
id: cache-openvino
with:
path: ./openvino_toolkit
key: cache-gha-openvino-toolkit-v${{ env.OPENVINO_VERSION_FULL }}-${{ runner.os }}
- name: Setup OpenVINO Toolkit
if: steps.cache-openvino.outputs.cache-hit != 'true'
uses: ./.github/actions/windows-setup-openvino
with:
path: ./openvino_toolkit
version_major: ${{ env.OPENVINO_VERSION_MAJOR }}
version_full: ${{ env.OPENVINO_VERSION_FULL }}
# windows-2022-rocm-cache:
# runs-on: windows-2022
# env:
# # Make sure this is in sync with release.yml and build-cuda-windows.yml
# ROCM_VERSION: "7.14.0"
# steps:
# - name: Clone
# id: checkout
# uses: actions/checkout@v6
# - name: Setup Cache
# uses: actions/cache@v5
# id: cache-rocm
# with:
# path: C:\TheRock\build
# key: rocm-wheels-${{ env.ROCM_VERSION }}-multi-arch-${{ runner.os }}
# - name: Setup ROCm
# if: steps.cache-rocm.outputs.cache-hit != 'true'
# uses: ./.github/actions/windows-setup-rocm
# with:
# version: ${{ env.ROCM_VERSION }}
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name: CI (cann)
on:
workflow_dispatch: # allows manual triggering
push:
branches:
- master
paths: [
'.github/workflows/build-cann.yml',
'**/CMakeLists.txt',
'**/.cmake',
'**/*.h',
'**/*.hpp',
'**/*.c',
'**/*.cpp'
]
pull_request:
types: [opened, synchronize, reopened]
paths: [
'.github/workflows/build-cann.yml',
'ggml/src/ggml-cann/**'
]
cache-mode: none
permissions:
contents: read
concurrency:
group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
cancel-in-progress: true
env:
GGML_NLOOP: 3
GGML_N_THREADS: 1
LLAMA_ARG_LOG_COLORS: 1
LLAMA_ARG_LOG_PREFIX: 1
LLAMA_ARG_LOG_TIMESTAMPS: 1
jobs:
# TODO: this build is disabled to save Github Actions resources (https://github.com/ggml-org/llama.cpp/pull/23705)
# in order to enable it again, we have to provision dedicated runners to run it
# openEuler-latest-cann:
# defaults:
# run:
# shell: bash -el {0}
# strategy:
# matrix:
# arch: [x86, aarch64]
# chip_type: ['910b', '310p']
# build: ['Release']
# use_acl_graph: ['on', 'off']
# exclude:
# # 310P does not support USE_ACL_GRAPH=on
# - chip_type: '310p'
# use_acl_graph: 'on'
# runs-on: ${{ matrix.arch == 'aarch64' && 'ubuntu-24.04-arm' || 'ubuntu-24.04' }}
# steps:
# - name: Checkout
# uses: actions/checkout@v6
# with:
# fetch-depth: 0
#
# - name: Free up disk space
# uses: ggml-org/free-disk-space@v1.3.1
# with:
# tool-cache: true
#
# - name: Set container image
# id: cann-image
# run: |
# image="ascendai/cann:${{ matrix.chip_type == '910b' && '8.5.0-910b-openeuler24.03-py3.11' || '8.5.0-310p-openeuler24.03-py3.11' }}"
# echo "image=${image}" >> "${GITHUB_OUTPUT}"
#
# - name: Pull container image
# run: docker pull "${{ steps.cann-image.outputs.image }}"
#
# - name: Build
# env:
# BUILD_TYPE: ${{ matrix.build }}
# SOC_TYPE: ascend${{ matrix.chip_type }}
# USE_ACL_GRAPH: ${{ matrix.use_acl_graph }}
# run: |
# HOST_UID=$(id -u)
# HOST_GID=$(id -g)
#
# docker run --rm \
# -v "${PWD}:/workspace" \
# -w /workspace \
# -e SOC_TYPE=${SOC_TYPE} \
# -e BUILD_TYPE=${BUILD_TYPE} \
# -e USE_ACL_GRAPH=${USE_ACL_GRAPH} \
# "${{ steps.cann-image.outputs.image }}" \
# bash -lc '
# set -e
# yum install -y --setopt=install_weak_deps=False --setopt=tsflags=nodocs git gcc gcc-c++ make cmake openssl-devel
# yum clean all && rm -rf /var/cache/yum
# git config --global --add safe.directory "/workspace"
# export LD_LIBRARY_PATH=${ASCEND_TOOLKIT_HOME}/lib64:${ASCEND_TOOLKIT_HOME}/$(uname -m)-linux/devlib/:${LD_LIBRARY_PATH}
# cmake -S . -B build \
# -DCMAKE_BUILD_TYPE=${BUILD_TYPE} \
# -DGGML_CANN=on \
# -DSOC_TYPE=${SOC_TYPE} \
# -DUSE_ACL_GRAPH=${USE_ACL_GRAPH}
# cmake --build build -j $(nproc)
#
# chown -R '"${HOST_UID}"':'"${HOST_GID}"' /workspace/build
# '
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name: Build relocatable cmake package
on:
workflow_dispatch:
workflow_call:
cache-mode: none
permissions:
contents: read
jobs:
linux:
runs-on: [self-hosted, Linux, fast]
steps:
- uses: actions/checkout@v6
with:
fetch-depth: 0
- name: Build
run: |
PREFIX="$(pwd)"/inst
cmake -S . -B build \
-DCMAKE_PREFIX_PATH="$PREFIX" \
-DLLAMA_OPENSSL=OFF \
-DLLAMA_BUILD_TESTS=OFF \
-DLLAMA_BUILD_TOOLS=OFF \
-DLLAMA_BUILD_EXAMPLES=OFF \
-DLLAMA_BUILD_APP=OFF \
-DLLAMA_BUILD_IS_DEV=OFF \
-DCMAKE_BUILD_TYPE=Release
cmake --build build --config Release -j $(nproc)
cmake --install build --prefix "$PREFIX" --config Release
export LLAMA_CONFIG="$PREFIX"/lib/cmake/llama/llama-config.cmake
build_commit=$(git rev-parse --short HEAD | xargs)
build_number=$(git rev-list --count HEAD | xargs)
major=$(grep -oE "set\(LLAMA_VERSION_MAJOR[[:space:]]+[0-9]+" CMakeLists.txt | grep -oE "[0-9]+$")
minor=$(grep -oE "set\(LLAMA_VERSION_MINOR[[:space:]]+[0-9]+" CMakeLists.txt | grep -oE "[0-9]+$")
patch=$(grep -oE "set\(LLAMA_VERSION_PATCH[[:space:]]+[0-9]+" CMakeLists.txt | grep -oE "[0-9]+$")
build_version="$major.$minor.$patch"
checks=("set\(LLAMA_VERSION[[:space:]]+$build_version\)"
"set\(LLAMA_BUILD_COMMIT[[:space:]]+$build_commit\)"
"set\(LLAMA_BUILD_NUMBER[[:space:]]+$build_number\)")
for check in "${checks[@]}"; do
if ! grep -qE "$check" "$LLAMA_CONFIG"; then
echo "Checking llama-config.cmake version... \"$check\" failed!"
exit 1
fi
done
echo "Checking llama-config.cmake version... success."
cd examples/simple-cmake-pkg
cmake -S . -B build -DCMAKE_PREFIX_PATH="$PREFIX"/lib/cmake
cmake --build build -j $(nproc)
+244
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@@ -0,0 +1,244 @@
name: CI (cpu)
on:
workflow_dispatch: # allows manual triggering
push:
branches:
- master
paths: [
'.github/workflows/build-cpu.yml',
'.github/workflows/build-cmake-pkg.yml',
'**/CMakeLists.txt',
'**/.cmake',
'**/*.h',
'**/*.hpp',
'**/*.c',
'**/*.cpp',
]
pull_request:
types: [opened, synchronize, reopened]
paths: [
'.github/workflows/build-cpu.yml',
'.github/workflows/build-cmake-pkg.yml',
'ggml/src/ggml-rpc/**',
'**/CMakeLists.txt',
'**/.cmake',
'**/*.h',
'**/*.hpp',
'**/*.c',
'**/*.cpp'
]
cache-mode: none
permissions:
contents: read
concurrency:
group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
cancel-in-progress: true
env:
GGML_NLOOP: 3
GGML_N_THREADS: 1
GGML_SCHED_DEBUG_REALLOC: 1
LLAMA_ARG_LOG_COLORS: 1
LLAMA_ARG_LOG_PREFIX: 1
LLAMA_ARG_LOG_TIMESTAMPS: 1
jobs:
build-cmake-pkg:
uses: ./.github/workflows/build-cmake-pkg.yml
ubuntu:
strategy:
matrix:
include:
- build: 'x64'
os: ubuntu-22.04
- build: 'arm64'
os: ubuntu-24.04-arm
runs-on: ${{ matrix.os }}
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: ccache
uses: ggml-org/ccache-action@v1.2.24
with:
restore: false
save: false
- name: Build Dependencies
id: build_depends
run: |
sudo apt-get update
sudo apt-get install -y --no-install-recommends \
python3 python3-pip python3-dev python3-wheel \
libjpeg-dev build-essential libssl-dev \
git-lfs
- name: Toolchain workaround (GCC 14)
if: ${{ contains(matrix.os, 'ubuntu-24.04') }}
run: |
sudo apt-get install -y gcc-14 g++-14
echo "CC=gcc-14" >> "$GITHUB_ENV"
echo "CXX=g++-14" >> "$GITHUB_ENV"
- name: Python Dependencies
id: python_depends
run: |
export PIP_BREAK_SYSTEM_PACKAGES="1"
python3 -m pip install --upgrade pip setuptools
pip3 install ./gguf-py jinja2==3.1.6
- name: ccache-buckets-restore
uses: ./.github/actions/ccache-buckets
env:
HF_TOKEN: ${{ secrets.HF_TOKEN_CI }}
with:
key: cpu-${{ matrix.os }}
folder: llama.cpp
hf_bucket: ggml-org/cache
- name: Build
id: cmake_build
run: |
cmake -B build \
-DGGML_NATIVE=OFF \
-DLLAMA_FATAL_WARNINGS=ON \
-DGGML_RPC=ON
time cmake --build build --config Release -j $(nproc)
- name: ccache-buckets-save
if: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
uses: ./.github/actions/ccache-buckets
env:
HF_TOKEN: ${{ secrets.HF_TOKEN_CACHE_OUTPUT }}
with:
key: cpu-${{ matrix.os }}
folder: llama.cpp
evict-old-files: 1d
hf_bucket: ggml-org/cache
save: true
- name: Test
id: cmake_test
run: |
cd build
ctest -L main --verbose --timeout 900
- name: Test llama2c conversion
id: llama2c_test
run: |
cd build
echo "Fetch tokenizer"
wget https://huggingface.co/karpathy/tinyllamas/resolve/main/stories260K/tok512.bin
echo "Fetch llama2c model"
wget https://huggingface.co/karpathy/tinyllamas/resolve/main/stories260K/stories260K.bin
./bin/llama-convert-llama2c-to-ggml --copy-vocab-from-model ./tok512.bin --llama2c-model stories260K.bin --llama2c-output-model stories260K.gguf
./bin/llama-completion -m stories260K.gguf -p "One day, Lily met a Shoggoth" -n 500 -c 256
windows:
name: windows / ${{ matrix.build }}
runs-on: windows-2025
cache-mode: write
permissions:
actions: write
contents: read
env:
OPENBLAS_VERSION: 0.3.23
SDE_VERSION: 9.33.0-2024-01-07
strategy:
matrix:
include:
- build: 'x64-cpu-static'
arch: 'x64'
defines: '-G "Ninja Multi-Config" -D CMAKE_TOOLCHAIN_FILE=cmake/x64-windows-llvm.cmake -DGGML_NATIVE=OFF -DGGML_OPENMP_FETCH=ON -DLLAMA_BUILD_SERVER=ON -DGGML_RPC=ON -DBUILD_SHARED_LIBS=OFF'
- build: 'x64-openblas'
arch: 'x64'
defines: '-G "Ninja Multi-Config" -D CMAKE_TOOLCHAIN_FILE=cmake/x64-windows-llvm.cmake -DGGML_NATIVE=OFF -DLLAMA_BUILD_SERVER=ON -DGGML_RPC=ON -DGGML_BACKEND_DL=ON -DGGML_CPU_ALL_VARIANTS=ON -DGGML_OPENMP=OFF -DGGML_BLAS=ON -DGGML_BLAS_VENDOR=OpenBLAS -DBLAS_INCLUDE_DIRS="$env:RUNNER_TEMP/openblas/include" -DBLAS_LIBRARIES="$env:RUNNER_TEMP/openblas/lib/openblas.lib"'
- build: 'arm64'
arch: 'arm64'
defines: '-G "Ninja Multi-Config" -D CMAKE_TOOLCHAIN_FILE=cmake/arm64-windows-llvm.cmake -DGGML_NATIVE=OFF -DGGML_OPENMP_FETCH=ON -DLLAMA_BUILD_SERVER=ON'
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: ccache
uses: ggml-org/ccache-action@v1.2.24
with:
key: cpu-windows-2025-${{ matrix.build }}
variant: ccache
evict-old-files: 1d
save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
- name: Download OpenBLAS
id: get_openblas
if: ${{ matrix.build == 'x64-openblas' }}
run: |
curl.exe -o $env:RUNNER_TEMP/openblas.zip -L "https://github.com/xianyi/OpenBLAS/releases/download/v${env:OPENBLAS_VERSION}/OpenBLAS-${env:OPENBLAS_VERSION}-x64.zip"
curl.exe -o $env:RUNNER_TEMP/OpenBLAS.LICENSE.txt -L "https://github.com/xianyi/OpenBLAS/raw/v${env:OPENBLAS_VERSION}/LICENSE"
mkdir $env:RUNNER_TEMP/openblas
tar.exe -xvf $env:RUNNER_TEMP/openblas.zip -C $env:RUNNER_TEMP/openblas
$vcdir = $(vswhere -latest -products * -requires Microsoft.VisualStudio.Component.VC.Tools.x86.x64 -property installationPath)
$msvc = $(join-path $vcdir $('VC\Tools\MSVC\'+$(gc -raw $(join-path $vcdir 'VC\Auxiliary\Build\Microsoft.VCToolsVersion.default.txt')).Trim()))
$lib = $(join-path $msvc 'bin\Hostx64\x64\lib.exe')
& $lib /machine:x64 "/def:${env:RUNNER_TEMP}/openblas/lib/libopenblas.def" "/out:${env:RUNNER_TEMP}/openblas/lib/openblas.lib" /name:openblas.dll
- name: Install Ninja
id: install_ninja
run: |
choco install ninja
- name: Build
id: cmake_build
run: |
cmake -S . -B build ${{ matrix.defines }} `
-DLLAMA_BUILD_BORINGSSL=ON
cmake --build build --config Release -j ${env:NUMBER_OF_PROCESSORS}
- name: Add libopenblas.dll
id: add_libopenblas_dll
if: ${{ matrix.build == 'x64-openblas' }}
run: |
cp $env:RUNNER_TEMP/openblas/bin/libopenblas.dll ./build/bin/Release/openblas.dll
cp $env:RUNNER_TEMP/OpenBLAS.LICENSE.txt ./build/bin/Release/OpenBLAS-${env:OPENBLAS_VERSION}.txt
- name: Test
id: cmake_test
if: ${{ matrix.arch == 'x64' }}
run: |
cd build
ctest -L main -C Release --verbose --timeout 900
# TODO: disabled for now, consider adding tests for all CPU variants instead
# - name: Test (Intel SDE)
# id: cmake_test_sde
# if: ${{ matrix.build == 'avx512-x64' && env.HAS_AVX512F == '0' }} # use Intel SDE for AVX-512 emulation
# run: |
# curl.exe -o $env:RUNNER_TEMP/sde.tar.xz -L "https://downloadmirror.intel.com/813591/sde-external-${env:SDE_VERSION}-win.tar.xz"
# # for some weird reason windows tar doesn't like sde tar.xz
# 7z x "-o${env:RUNNER_TEMP}" $env:RUNNER_TEMP/sde.tar.xz
# 7z x "-o${env:RUNNER_TEMP}" $env:RUNNER_TEMP/sde.tar
# $sde = $(join-path $env:RUNNER_TEMP sde-external-${env:SDE_VERSION}-win/sde.exe)
# cd build
# & $sde -future -- ctest -L main -C Release --verbose --timeout 900
- name: ccache-clear
uses: ./.github/actions/ccache-clear
env:
GH_TOKEN: ${{ github.token }}
with:
key: cpu-windows-2025-${{ matrix.build }}
older: 5m
min: 1
dry-run: ${{ github.event_name != 'push' || github.ref != 'refs/heads/master' }}
+321
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@@ -0,0 +1,321 @@
name: CI (cross)
on:
# only manual triggers due to low-importance of the workflows
# TODO: for regular runs, provision dedicated self-hosted runners
workflow_dispatch:
push:
branches:
- master
paths: [
'.github/workflows/build-cross.yml',
'ggml/src/spacemit/*',
'ggml/src/arch/loongarch/*'
]
# run once every week
schedule:
- cron: '0 0 * * 0'
cache-mode: none
permissions:
contents: read
concurrency:
group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
cancel-in-progress: true
jobs:
# ubuntu-24-riscv64-cpu-cross:
# runs-on: ubuntu-24.04
# steps:
# - uses: actions/checkout@v6
# - name: Setup Riscv
# run: |
# sudo dpkg --add-architecture riscv64
# # Add arch-specific repositories for non-amd64 architectures
# cat << EOF | sudo tee /etc/apt/sources.list.d/riscv64-ports.list
# deb [arch=riscv64] http://ports.ubuntu.com/ubuntu-ports/ noble main universe
# deb [arch=riscv64] http://ports.ubuntu.com/ubuntu-ports/ noble-updates main universe
# deb [arch=riscv64] http://ports.ubuntu.com/ubuntu-ports/ noble-security main universe
# deb [arch=riscv64] http://ports.ubuntu.com/ubuntu-ports/ noble-backports main universe
# EOF
# sudo apt-get update || true ;# Prevent failure due to missing URLs.
# sudo apt-get install -y --no-install-recommends \
# build-essential \
# gcc-14-riscv64-linux-gnu \
# g++-14-riscv64-linux-gnu
# - name: Build
# run: |
# cmake -B build -DLLAMA_OPENSSL=OFF \
# -DCMAKE_BUILD_TYPE=Release \
# -DGGML_OPENMP=OFF \
# -DLLAMA_BUILD_EXAMPLES=ON \
# -DLLAMA_BUILD_TOOLS=ON \
# -DLLAMA_BUILD_TESTS=OFF \
# -DCMAKE_SYSTEM_NAME=Linux \
# -DCMAKE_SYSTEM_PROCESSOR=riscv64 \
# -DCMAKE_C_COMPILER=riscv64-linux-gnu-gcc-14 \
# -DCMAKE_CXX_COMPILER=riscv64-linux-gnu-g++-14 \
# -DCMAKE_POSITION_INDEPENDENT_CODE=ON \
# -DCMAKE_FIND_ROOT_PATH=/usr/lib/riscv64-linux-gnu \
# -DCMAKE_FIND_ROOT_PATH_MODE_PROGRAM=NEVER \
# -DCMAKE_FIND_ROOT_PATH_MODE_LIBRARY=ONLY \
# -DCMAKE_FIND_ROOT_PATH_MODE_INCLUDE=BOTH
# cmake --build build --config Release -j $(nproc)
# ubuntu-24-riscv64-vulkan-cross:
# runs-on: ubuntu-24.04
# steps:
# - uses: actions/checkout@v6
# - name: Setup Riscv
# run: |
# sudo dpkg --add-architecture riscv64
# # Add arch-specific repositories for non-amd64 architectures
# cat << EOF | sudo tee /etc/apt/sources.list.d/riscv64-ports.list
# deb [arch=riscv64] http://ports.ubuntu.com/ubuntu-ports/ noble main universe
# deb [arch=riscv64] http://ports.ubuntu.com/ubuntu-ports/ noble-updates main universe
# deb [arch=riscv64] http://ports.ubuntu.com/ubuntu-ports/ noble-security main universe
# deb [arch=riscv64] http://ports.ubuntu.com/ubuntu-ports/ noble-backports main universe
# EOF
# sudo apt-get update || true ;# Prevent failure due to missing URLs.
# sudo apt-get install -y --no-install-recommends \
# build-essential \
# glslc \
# gcc-14-riscv64-linux-gnu \
# g++-14-riscv64-linux-gnu \
# libvulkan-dev:riscv64
# - name: Build
# run: |
# cmake -B build -DLLAMA_OPENSSL=OFF \
# -DCMAKE_BUILD_TYPE=Release \
# -DGGML_VULKAN=ON \
# -DGGML_OPENMP=OFF \
# -DLLAMA_BUILD_EXAMPLES=ON \
# -DLLAMA_BUILD_TOOLS=ON \
# -DLLAMA_BUILD_TESTS=OFF \
# -DCMAKE_SYSTEM_NAME=Linux \
# -DCMAKE_SYSTEM_PROCESSOR=riscv64 \
# -DCMAKE_C_COMPILER=riscv64-linux-gnu-gcc-14 \
# -DCMAKE_CXX_COMPILER=riscv64-linux-gnu-g++-14 \
# -DCMAKE_POSITION_INDEPENDENT_CODE=ON \
# -DCMAKE_FIND_ROOT_PATH=/usr/lib/riscv64-linux-gnu \
# -DCMAKE_FIND_ROOT_PATH_MODE_PROGRAM=NEVER \
# -DCMAKE_FIND_ROOT_PATH_MODE_LIBRARY=ONLY \
# -DCMAKE_FIND_ROOT_PATH_MODE_INCLUDE=BOTH
# cmake --build build --config Release -j $(nproc)
# ubuntu-24-arm64-vulkan-cross:
# runs-on: ubuntu-24.04
# steps:
# - uses: actions/checkout@v6
# - name: Setup Arm64
# run: |
# sudo dpkg --add-architecture arm64
# # Add arch-specific repositories for non-amd64 architectures
# cat << EOF | sudo tee /etc/apt/sources.list.d/arm64-ports.list
# deb [arch=arm64] http://ports.ubuntu.com/ubuntu-ports/ noble main universe
# deb [arch=arm64] http://ports.ubuntu.com/ubuntu-ports/ noble-updates main universe
# deb [arch=arm64] http://ports.ubuntu.com/ubuntu-ports/ noble-security main universe
# deb [arch=arm64] http://ports.ubuntu.com/ubuntu-ports/ noble-backports main universe
# EOF
# sudo apt-get update || true ;# Prevent failure due to missing URLs.
# sudo apt-get install -y --no-install-recommends \
# build-essential \
# glslc \
# crossbuild-essential-arm64 \
# libvulkan-dev:arm64
# - name: Build
# run: |
# cmake -B build -DLLAMA_OPENSSL=OFF \
# -DCMAKE_BUILD_TYPE=Release \
# -DGGML_VULKAN=ON \
# -DGGML_OPENMP=OFF \
# -DLLAMA_BUILD_EXAMPLES=ON \
# -DLLAMA_BUILD_TOOLS=ON \
# -DLLAMA_BUILD_TESTS=OFF \
# -DCMAKE_SYSTEM_NAME=Linux \
# -DCMAKE_SYSTEM_PROCESSOR=aarch64 \
# -DCMAKE_C_COMPILER=aarch64-linux-gnu-gcc \
# -DCMAKE_CXX_COMPILER=aarch64-linux-gnu-g++ \
# -DCMAKE_POSITION_INDEPENDENT_CODE=ON \
# -DCMAKE_FIND_ROOT_PATH=/usr/lib/aarch64-linux-gnu \
# -DCMAKE_FIND_ROOT_PATH_MODE_PROGRAM=NEVER \
# -DCMAKE_FIND_ROOT_PATH_MODE_LIBRARY=ONLY \
# -DCMAKE_FIND_ROOT_PATH_MODE_INCLUDE=BOTH
# cmake --build build --config Release -j $(nproc)
debian-13-loongarch64-cpu-cross:
runs-on: ${{ 'ubuntu-24.04-arm' || 'ubuntu-24.04' }}
container: debian@sha256:653dfb9f86c3782e8369d5f7d29bb8faba1f4bff9025db46e807fa4c22903671
steps:
- uses: actions/checkout@v6
- name: Setup LoongArch
run: |
rm -f /etc/apt/sources.list.d/*
cat << EOF | tee /etc/apt/sources.list.d/debian-ports.list
deb http://snapshot.debian.org/archive/debian/20250515T202920Z/ trixie main
EOF
( echo 'quiet "true";'; \
echo 'APT::Get::Assume-Yes "true";'; \
echo 'APT::Install-Recommends "false";'; \
echo 'Acquire::Check-Valid-Until "false";'; \
echo 'Acquire::Retries "5";'; \
) > /etc/apt/apt.conf.d/99snapshot-repos
apt-get update
apt-get install -y ca-certificates debian-ports-archive-keyring cmake git zip
dpkg --add-architecture loong64
# Add arch-specific repositories for non-amd64 architectures
cat << EOF | tee /etc/apt/sources.list.d/loong64-ports.list
deb [arch=loong64] http://snapshot.debian.org/archive/debian-ports/20250515T194251Z/ sid main
EOF
apt-get update || true ;# Prevent failure due to missing URLs.
apt-get install -y --no-install-recommends \
build-essential \
gcc-14-loongarch64-linux-gnu \
g++-14-loongarch64-linux-gnu
- name: Build
run: |
cmake -B build -DLLAMA_OPENSSL=OFF \
-DCMAKE_BUILD_TYPE=Release \
-DGGML_OPENMP=OFF \
-DLLAMA_BUILD_EXAMPLES=ON \
-DLLAMA_BUILD_TOOLS=ON \
-DLLAMA_BUILD_TESTS=OFF \
-DCMAKE_SYSTEM_NAME=Linux \
-DCMAKE_SYSTEM_PROCESSOR=loongarch64 \
-DCMAKE_C_COMPILER=loongarch64-linux-gnu-gcc-14 \
-DCMAKE_CXX_COMPILER=loongarch64-linux-gnu-g++-14 \
-DCMAKE_POSITION_INDEPENDENT_CODE=ON \
-DCMAKE_FIND_ROOT_PATH=/usr/lib/loongarch64-linux-gnu \
-DCMAKE_FIND_ROOT_PATH_MODE_PROGRAM=NEVER \
-DCMAKE_FIND_ROOT_PATH_MODE_LIBRARY=ONLY \
-DCMAKE_FIND_ROOT_PATH_MODE_INCLUDE=BOTH
cmake --build build --config Release -j $(nproc)
debian-13-loongarch64-vulkan-cross:
runs-on: ${{ 'ubuntu-24.04-arm' || 'ubuntu-24.04' }}
container: debian@sha256:653dfb9f86c3782e8369d5f7d29bb8faba1f4bff9025db46e807fa4c22903671
steps:
- uses: actions/checkout@v6
- name: Setup LoongArch
run: |
rm -f /etc/apt/sources.list.d/*
cat << EOF | tee /etc/apt/sources.list.d/debian-ports.list
deb http://snapshot.debian.org/archive/debian/20250515T202920Z/ trixie main
EOF
( echo 'quiet "true";'; \
echo 'APT::Get::Assume-Yes "true";'; \
echo 'APT::Install-Recommends "false";'; \
echo 'Acquire::Check-Valid-Until "false";'; \
echo 'Acquire::Retries "5";'; \
) > /etc/apt/apt.conf.d/99snapshot-repos
apt-get update
apt-get install -y ca-certificates debian-ports-archive-keyring cmake git zip
dpkg --add-architecture loong64
# Add arch-specific repositories for non-amd64 architectures
cat << EOF | tee /etc/apt/sources.list.d/loong64-ports.list
deb [arch=loong64] http://snapshot.debian.org/archive/debian-ports/20250515T194251Z/ sid main
EOF
apt-get update || true ;# Prevent failure due to missing URLs.
apt-get install -y --no-install-recommends \
build-essential \
glslc \
spirv-headers \
gcc-14-loongarch64-linux-gnu \
g++-14-loongarch64-linux-gnu \
libvulkan-dev:loong64
- name: Build
run: |
cmake -B build -DLLAMA_OPENSSL=OFF \
-DCMAKE_BUILD_TYPE=Release \
-DGGML_VULKAN=ON \
-DGGML_OPENMP=OFF \
-DLLAMA_BUILD_EXAMPLES=ON \
-DLLAMA_BUILD_TOOLS=ON \
-DLLAMA_BUILD_TESTS=OFF \
-DCMAKE_SYSTEM_NAME=Linux \
-DCMAKE_SYSTEM_PROCESSOR=loongarch64 \
-DCMAKE_C_COMPILER=loongarch64-linux-gnu-gcc-14 \
-DCMAKE_CXX_COMPILER=loongarch64-linux-gnu-g++-14 \
-DCMAKE_POSITION_INDEPENDENT_CODE=ON \
-DCMAKE_FIND_ROOT_PATH=/usr/lib/loongarch64-linux-gnu \
-DCMAKE_FIND_ROOT_PATH_MODE_PROGRAM=NEVER \
-DCMAKE_FIND_ROOT_PATH_MODE_LIBRARY=ONLY \
-DCMAKE_FIND_ROOT_PATH_MODE_INCLUDE=BOTH
cmake --build build --config Release -j $(nproc)
ubuntu-24-riscv64-cpu-spacemit-ime-cross:
runs-on: ubuntu-24.04
env:
# Make sure this is in sync with build-cache.yml
SPACEMIT_IME_TOOLCHAIN_VERSION: "1.2.4"
steps:
- uses: actions/checkout@v6
#- name: Use SpacemiT Toolchain Cache
# uses: actions/cache@v5
# id: cache-toolchain
# with:
# path: ./spacemit_toolchain
# key: cache-gha-spacemit-ime-toolchain-v${{ env.SPACEMIT_IME_TOOLCHAIN_VERSION }}-${{ runner.os }}
- name: Setup SpacemiT Toolchain
#if: steps.cache-toolchain.outputs.cache-hit != 'true'
uses: ./.github/actions/linux-setup-spacemit
with:
path: ./spacemit_toolchain
version: ${{ env.SPACEMIT_IME_TOOLCHAIN_VERSION }}
- name: Build
run: |
export RISCV_ROOT_PATH=${PWD}/spacemit_toolchain
cmake -B build -DLLAMA_OPENSSL=OFF \
-DCMAKE_BUILD_TYPE=Release \
-DLLAMA_BUILD_EXAMPLES=ON \
-DGGML_CPU_REPACK=OFF \
-DLLAMA_BUILD_TOOLS=ON \
-DLLAMA_BUILD_TESTS=OFF \
-DGGML_CPU_RISCV64_SPACEMIT=ON \
-DGGML_RVV=ON \
-DGGML_RV_ZVFH=ON \
-DGGML_RV_ZFH=ON \
-DGGML_RV_ZICBOP=ON \
-DGGML_RV_ZIHINTPAUSE=ON \
-DGGML_RV_ZBA=ON \
-DCMAKE_TOOLCHAIN_FILE=${PWD}/cmake/riscv64-spacemit-linux-gnu-gcc.cmake
cmake --build build --config Release -j $(nproc)
+198
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name: CI (CUDA, ubuntu)
on:
workflow_dispatch: # allows manual triggering
push:
branches:
- master
paths: [
'.github/workflows/build-cuda-ubuntu.yml',
'**/CMakeLists.txt',
'**/.cmake',
'**/*.h',
'**/*.hpp',
'**/*.c',
'**/*.cpp',
'**/*.cu',
'**/*.cuh'
]
pull_request:
types: [opened, synchronize, reopened]
paths: [
'.github/workflows/build-cuda-ubuntu.yml',
'ggml/src/ggml-cuda/**'
]
cache-mode: none
permissions:
contents: read
concurrency:
group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
cancel-in-progress: true
env:
GGML_NLOOP: 3
GGML_N_THREADS: 1
LLAMA_ARG_LOG_COLORS: 1
LLAMA_ARG_LOG_PREFIX: 1
LLAMA_ARG_LOG_TIMESTAMPS: 1
jobs:
cuda:
runs-on: ubuntu-24.04
container: nvidia/cuda:12.6.2-devel-ubuntu24.04
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: Install dependencies
env:
DEBIAN_FRONTEND: noninteractive
run: |
apt update
apt install -y cmake build-essential ninja-build libgomp1 git libssl-dev jq python3 python3-venv python3-pip
- name: ccache
uses: ggml-org/ccache-action@v1.2.24
with:
restore: false
save: false
- name: ccache-buckets-restore
uses: ./.github/actions/ccache-buckets
env:
HF_TOKEN: ${{ secrets.HF_TOKEN_CI }}
with:
key: cuda-ubuntu-24.04-cuda
folder: llama.cpp
hf_bucket: ggml-org/cache
- name: Build with CMake
# TODO: Drop GGML_CUDA_CCCL_VERSION when this job uses CTK >= 13.5, which bundles CCCL >= 3.5.
run: |
cmake -S . -B build -G Ninja \
-DLLAMA_FATAL_WARNINGS=ON \
-DCMAKE_BUILD_TYPE=Release \
-DCMAKE_CUDA_ARCHITECTURES=89-real \
-DCMAKE_EXE_LINKER_FLAGS=-Wl,--allow-shlib-undefined \
-DGGML_NATIVE=OFF \
-DGGML_CUDA=ON \
-DGGML_CUDA_CCCL_VERSION=v3.4.3
cmake --build build
- name: ccache-buckets-save
if: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
uses: ./.github/actions/ccache-buckets
env:
HF_TOKEN: ${{ secrets.HF_TOKEN_CACHE_OUTPUT }}
with:
key: cuda-ubuntu-24.04-cuda
folder: llama.cpp
evict-old-files: 1d
hf_bucket: ggml-org/cache
save: true
hip:
runs-on: ubuntu-22.04
container: rocm/dev-ubuntu-22.04:6.1.2
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: Dependencies
id: depends
run: |
sudo apt-get update
sudo apt-get install -y build-essential git cmake rocblas-dev hipblas-dev libssl-dev rocwmma-dev jq python3-venv
- name: ccache
uses: ggml-org/ccache-action@v1.2.24
with:
restore: false
save: false
- name: ccache-buckets-restore
uses: ./.github/actions/ccache-buckets
env:
HF_TOKEN: ${{ secrets.HF_TOKEN_CI }}
with:
key: cuda-ubuntu-22.04-hip
folder: llama.cpp
hf_bucket: ggml-org/cache
- name: Build with native CMake HIP support
id: cmake_build
run: |
cmake -B build -S . \
-DCMAKE_HIP_COMPILER="$(hipconfig -l)/clang" \
-DGPU_TARGETS="gfx1030" \
-DGGML_HIP=ON
cmake --build build --config Release -j $(nproc)
- name: ccache-buckets-save
if: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
uses: ./.github/actions/ccache-buckets
env:
HF_TOKEN: ${{ secrets.HF_TOKEN_CACHE_OUTPUT }}
with:
key: cuda-ubuntu-22.04-hip
folder: llama.cpp
evict-old-files: 1d
hf_bucket: ggml-org/cache
save: true
musa:
runs-on: ubuntu-22.04
container: registry.mthreads.com/mcconline/musa_sdk:5.2.0-devel-ubuntu22.04-s5000
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: Dependencies
id: depends
run: |
apt-get update
apt-get install -y build-essential git cmake libssl-dev jq python3-venv musa-mualg-5-2 musa-muthrust-5-2 libmthreads-compute
- name: ccache
uses: ggml-org/ccache-action@v1.2.24
with:
restore: false
save: false
- name: ccache-buckets-restore
uses: ./.github/actions/ccache-buckets
env:
HF_TOKEN: ${{ secrets.HF_TOKEN_CI }}
with:
key: cuda-ubuntu-22.04-musa
folder: llama.cpp
hf_bucket: ggml-org/cache
- name: Build with native CMake MUSA support
id: cmake_build
run: |
cmake -B build -S . \
-DGGML_MUSA=ON \
-DMUSA_ARCHITECTURES=31
cmake --build build --config Release -j $(nproc)
- name: ccache-buckets-save
if: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
uses: ./.github/actions/ccache-buckets
env:
HF_TOKEN: ${{ secrets.HF_TOKEN_CACHE_OUTPUT }}
with:
key: cuda-ubuntu-22.04-musa
folder: llama.cpp
evict-old-files: 1d
hf_bucket: ggml-org/cache
save: true
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name: CI (CUDA, windows)
# TODO: this workflow is only triggered manually because it is very heavy on the CI
# when we provision dedicated windows runners, we can enable it for pushes too
# note: running this workflow manually will populate the ccache for the release builds
# this can be used before merging a PR to speed up the release workflow
on:
workflow_dispatch: # allows manual triggering
cache-mode: write
permissions:
actions: write
contents: read
# note: this will run in queue with the release workflow
concurrency:
group: release
queue: max
env:
GH_TOKEN: ${{ github.token }}
GGML_NLOOP: 3
GGML_N_THREADS: 1
LLAMA_ARG_LOG_COLORS: 1
LLAMA_ARG_LOG_PREFIX: 1
LLAMA_ARG_LOG_TIMESTAMPS: 1
jobs:
cuda:
name: windows-cuda (${{ matrix.cuda }}, ${{ matrix.arch }})
runs-on: windows-2022
permissions:
actions: write
strategy:
matrix:
include:
# CTK >= 13.5 bundles CCCL >= 3.5; omit GGML_CUDA_CCCL_VERSION for those versions.
- cuda: '12.4'
arch: x64
defines: '-DGGML_CUDA_CCCL_VERSION=v3.4.3'
- cuda: '13.4'
arch: x64
defines: '-DGGML_CUDA_CCCL_VERSION=v3.4.3'
- cuda: '13.4'
arch: arm64
defines: '-DGGML_CUDA_CCCL_VERSION=v3.4.3 -DCMAKE_TOOLCHAIN_FILE=cmake/arm64-windows-msvc-cuda.cmake'
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: ccache
uses: ggml-org/ccache-action@v1.2.24
with:
key: release-windows-2022-${{ matrix.arch }}-cuda-${{ matrix.cuda }}
- name: Install Cuda Toolkit
uses: ./.github/actions/windows-setup-cuda
with:
cuda_version: ${{ matrix.cuda }}
cuda_arch: ${{ matrix.arch }}
- name: Install Ninja
id: install_ninja
run: |
choco install ninja
- name: Build
id: cmake_build
shell: cmd
run: |
call "C:\Program Files\Microsoft Visual Studio\2022\Enterprise\VC\Auxiliary\Build\vcvarsall.bat" ${{ matrix.arch == 'x64' && 'x64' || 'amd64_arm64' }}
cmake -S . -B build -G "Ninja Multi-Config" ^
-DGGML_BACKEND_DL=ON ^
-DGGML_NATIVE=OFF ^
-DGGML_CPU=OFF ^
-DGGML_CUDA=ON ^
-DLLAMA_BUILD_BORINGSSL=ON ${{ matrix.defines }}
set /A NINJA_JOBS=%NUMBER_OF_PROCESSORS%-1
cmake --build build --config Release -j %NINJA_JOBS% --target ggml-cuda
- name: ccache-clear
uses: ./.github/actions/ccache-clear
with:
key: release-windows-2022-${{ matrix.arch }}-cuda-${{ matrix.cuda }}
hip:
runs-on: windows-2022
permissions:
actions: write
env:
# Make sure this is in sync with build-cache.yml
ROCM_VERSION: "7.14.0"
strategy:
matrix:
include:
# sync with release.yml
- name: "radeon"
gpu_targets: "gfx1150;gfx1151;gfx1200;gfx1201;gfx1100;gfx1101;gfx1102;gfx1030;gfx1031;gfx1032"
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
# - name: Cache ROCm Installation
# uses: actions/cache@v5
# id: cache-rocm
# with:
# path: C:\TheRock\build
# key: rocm-wheels-${{ env.ROCM_VERSION }}-multi-arch-${{ runner.os }}
- name: Setup ROCm
# if: steps.cache-rocm.outputs.cache-hit != 'true'
uses: ./.github/actions/windows-setup-rocm
with:
version: ${{ env.ROCM_VERSION }}
- name: Setup ROCm Environment
run: |
$ErrorActionPreference = "Stop"
# Activate venv from cache or fresh install
& C:\TheRock\build\.venv\Scripts\Activate.ps1
# Expand the devel tree (idempotent; no-op if already done during install)
rocm-sdk init
if ($LASTEXITCODE -ne 0) { throw "rocm-sdk init failed with exit code $LASTEXITCODE" }
# Get ROCm installation paths using the rocm-sdk CLI tool
$rocmPath = (rocm-sdk path --root)
if (-not $rocmPath) { throw "rocm-sdk path --root returned empty - devel package may not be installed" }
$rocmPath = $rocmPath.Trim()
$cmakePath = (rocm-sdk path --cmake).Trim()
$binPath = (rocm-sdk path --bin).Trim()
write-host "ROCm root: $rocmPath"
echo "HIP_PATH=$rocmPath" >> $env:GITHUB_ENV
echo "CMAKE_PREFIX_PATH=$cmakePath" >> $env:GITHUB_ENV
echo "HIP_DEVICE_LIB_PATH=$rocmPath\lib\llvm\amdgcn\bitcode" >> $env:GITHUB_ENV
echo "HIP_PLATFORM=amd" >> $env:GITHUB_ENV
echo "LLVM_PATH=$rocmPath\lib\llvm" >> $env:GITHUB_ENV
echo "$binPath" >> $env:GITHUB_PATH
# Keep venv in PATH for subsequent steps
echo "C:\TheRock\build\.venv\Scripts" >> $env:GITHUB_PATH
- name: Verify ROCm
id: verify
run: |
# Test the ROCm clang shipped in the installed wheel
& "${env:HIP_PATH}\lib\llvm\bin\clang.exe" --version
- name: ccache
uses: ggml-org/ccache-action@v1.2.24
with:
# TODO: this build does not match the build in release.yml, so we use a different cache key
# ideally, the builds should match, similar to the CUDA build above so that we would be able
# to populate the ccache for the release with manual runs of this workflow
#key: release-windows-2022-x64-hip-${{ env.ROCM_VERSION }}-${{ matrix.name }}
key: cuda-windows-2022-x64-hip-${{ env.ROCM_VERSION }}-${{ matrix.name }}
- name: Build
id: cmake_build
run: |
cmake -G "Unix Makefiles" -B build -S . `
-DCMAKE_PREFIX_PATH="${env:HIP_PATH}" `
-DCMAKE_C_COMPILER="${env:HIP_PATH}\lib\llvm\bin\clang.exe" `
-DCMAKE_CXX_COMPILER="${env:HIP_PATH}\lib\llvm\bin\clang++.exe" `
-DCMAKE_HIP_COMPILER="${env:HIP_PATH}\lib\llvm\bin\clang.exe" `
-DCMAKE_BUILD_TYPE=Release `
-DLLAMA_BUILD_BORINGSSL=ON `
-DHIP_PATH="${env:HIP_PATH}" `
-DGGML_HIP=ON `
-DGPU_TARGETS="gfx1100" `
-DGGML_RPC=ON
cmake --build build -j ${env:NUMBER_OF_PROCESSORS}
- name: ccache-clear
uses: ./.github/actions/ccache-clear
with:
#key: release-windows-2022-x64-hip-${{ env.ROCM_VERSION }}-${{ matrix.name }}
key: cuda-windows-2022-x64-hip-${{ env.ROCM_VERSION }}-${{ matrix.name }}
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name: CI (ibm)
on:
workflow_dispatch: # allows manual triggering
push:
branches:
- master
paths: [
'.github/workflows/build-ibm.yml',
'**/CMakeLists.txt',
'**/.cmake',
'**/*.h',
'**/*.hpp',
'**/*.c',
'**/*.cpp'
]
pull_request:
types: [opened, synchronize, reopened]
paths: [
'.github/workflows/build-ibm.yml',
'ggml/src/ggml-cpu/**',
'ggml/src/ggml-zdnn/**',
'ggml/src/ggml-quants.c',
'src/llama-quant.cpp',
'gguf-py/gguf/scripts/gguf_convert_endian.py',
'tests/test-quantize-be.sh'
]
cache-mode: none
permissions:
contents: read
concurrency:
group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
cancel-in-progress: true
env:
GGML_NLOOP: 3
GGML_N_THREADS: 1
LLAMA_ARG_LOG_COLORS: 1
LLAMA_ARG_LOG_PREFIX: 1
LLAMA_ARG_LOG_TIMESTAMPS: 1
jobs:
ubuntu-24-s390x:
name: ubuntu-24-s390x (VXE ${{ matrix.vxe }})
runs-on: ubuntu-24.04-s390x
strategy:
fail-fast: false
matrix:
vxe: ["ON", "OFF"] # `-DGGML_VXE=ON/OFF`
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: Build Dependencies
id: build_depends
run: |
sudo apt-get update
sudo apt-get install -y --no-install-recommends \
python3 python3-pip python3-dev python3-wheel \
libjpeg-dev build-essential libssl-dev \
git-lfs
- name: Toolchain workaround (GCC 14)
run: |
sudo apt-get install -y gcc-14 g++-14
echo "CC=gcc-14" >> "$GITHUB_ENV"
echo "CXX=g++-14" >> "$GITHUB_ENV"
- name: Python Dependencies
id: python_depends
run: |
export PIP_BREAK_SYSTEM_PACKAGES="1"
python3 -m pip install --upgrade pip setuptools
pip3 install ./gguf-py
- name: Swap Endianness
id: endianness
run: |
for f in models/*.gguf; do
echo YES | python3 gguf-py/gguf/scripts/gguf_convert_endian.py $f big
done
- name: Build
id: cmake_build
run: |
cmake -B build \
-DLLAMA_FATAL_WARNINGS=ON \
-DGGML_RPC=ON \
-DGGML_VXE=${{ matrix.vxe }}
time cmake --build build --config Release -j $(nproc)
- name: Test
id: cmake_test
run: |
cd build
ctest -L main --verbose --timeout 900
- name: Test llama2c (s390x)
id: llama2c_test_s390x
run: |
cd build
echo "Fetch llama2c big-endian model"
wget https://huggingface.co/ggml-org/models/resolve/main/tinyllamas/stories260K-be.gguf
./bin/llama-completion -m stories260K-be.gguf -p "One day, Lily met a Shoggoth" -n 500 -c 256
- name: Test quantize (s390x)
id: quantize_test_s390x
run: |
./tests/test-quantize-be.sh ./build/bin/llama-quantize ./build/bin/llama-perplexity 2>&1
ubuntu-26-zdnn-s390x:
name: ubuntu-26-zdnn-s390x
runs-on: ubuntu-24.04-s390x
container: ubuntu:26.04 # required to get GCC 15.1 and binutils 2.44
defaults:
run:
shell: bash
steps:
- name: Build Dependencies
id: build_depends
run: |
apt-get update
apt-get install -y --no-install-recommends \
build-essential cmake git ca-certificates \
libssl-dev libzdnn-dev
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: Toolchain workaround (GCC 15)
run: |
apt-get install -y gcc-15 g++-15
echo "CC=gcc-15" >> "$GITHUB_ENV"
echo "CXX=g++-15" >> "$GITHUB_ENV"
- name: Build with zDNN Backend
id: cmake_build
run: |
cmake -B build \
-DLLAMA_FATAL_WARNINGS=ON \
-DGGML_NATIVE=OFF \
-DGGML_VXE=ON \
-DGGML_ZDNN=ON \
-DGGML_RPC=ON \
-DCMAKE_C_FLAGS="-march=arch15" \
-DCMAKE_CXX_FLAGS="-march=arch15"
time cmake --build build --config Release -j $(nproc)
ubuntu-24-ppc64le:
runs-on: ubuntu-24.04-ppc64le
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: Build Dependencies
id: build_depends
run: |
sudo apt-get update
sudo apt-get install -y --no-install-recommends \
python3 python3-pip python3-dev python3-wheel \
libjpeg-dev build-essential libssl-dev \
git-lfs
- name: Toolchain workaround (GCC 14)
run: |
sudo apt-get install -y gcc-14 g++-14
echo "CC=gcc-14" >> "$GITHUB_ENV"
echo "CXX=g++-14" >> "$GITHUB_ENV"
- name: Python Dependencies
id: python_depends
run: |
export PIP_BREAK_SYSTEM_PACKAGES="1"
python3 -m pip install --upgrade pip setuptools
pip3 install ./gguf-py
- name: Build
id: cmake_build
run: |
cmake -B build \
-DLLAMA_FATAL_WARNINGS=ON \
-DGGML_RPC=ON
time cmake --build build --config Release -j $(nproc)
- name: Test
id: cmake_test
run: |
cd build
ctest -L main --verbose --timeout 900
- name: Test llama2c conversion
id: llama2c_test
run: |
cd build
echo "Fetch tokenizer"
wget https://huggingface.co/karpathy/tinyllamas/resolve/main/stories260K/tok512.bin
echo "Fetch llama2c model"
wget https://huggingface.co/karpathy/tinyllamas/resolve/main/stories260K/stories260K.bin
./bin/llama-convert-llama2c-to-ggml --copy-vocab-from-model ./tok512.bin --llama2c-model stories260K.bin --llama2c-output-model stories260K.gguf
./bin/llama-completion -m stories260K.gguf -p "One day, Lily met a Shoggoth" -n 500 -c 256
+74
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name: CI (msys)
on:
# only manual triggers due to low-importance of the workflows
# TODO: for regular runs, provision dedicated self-hosted runners
workflow_dispatch:
# run once every week
schedule:
- cron: '0 0 * * 0'
cache-mode: none
permissions:
contents: read
concurrency:
group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
cancel-in-progress: true
env:
GGML_NLOOP: 3
GGML_N_THREADS: 1
LLAMA_ARG_LOG_COLORS: 1
LLAMA_ARG_LOG_PREFIX: 1
LLAMA_ARG_LOG_TIMESTAMPS: 1
jobs:
windows-msys2:
runs-on: windows-2025
strategy:
fail-fast: false
matrix:
include:
- { sys: UCRT64, env: ucrt-x86_64, compiler: gcc, build: Release }
- { sys: CLANG64, env: clang-x86_64, compiler: clang, build: Release }
steps:
- name: Clone
uses: actions/checkout@v6
#- name: ccache
# uses: ggml-org/ccache-action@v1.2.24
# with:
# key: msys-windows-2025-x64
# variant: ccache
# evict-old-files: 1d
# save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
- name: Setup ${{ matrix.sys }}
uses: msys2/setup-msys2@cafece8e6baf9247cf9b1bf95097b0b983cc558d # v2
with:
update: true
msystem: ${{matrix.sys}}
install: >-
mingw-w64-${{matrix.env}}-${{matrix.compiler}}
mingw-w64-${{matrix.env}}-cmake
mingw-w64-${{matrix.env}}-openblas
- name: Build using CMake
shell: msys2 {0}
run: |
cmake -B build
cmake --build build --config ${{ matrix.build }} -j $(nproc)
- name: Clean after building using CMake
shell: msys2 {0}
run: |
rm -rf build
- name: Build using CMake w/ OpenBLAS
shell: msys2 {0}
run: |
cmake -B build -DGGML_BLAS=ON -DGGML_BLAS_VENDOR=OpenBLAS
cmake --build build --config ${{ matrix.build }} -j $(nproc)
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name: CI (opencl)
on:
workflow_dispatch: # allows manual triggering
push:
branches:
- master
paths: [
'.github/workflows/build-opencl.yml',
'**/CMakeLists.txt',
'**/.cmake',
'**/*.h',
'**/*.hpp',
'**/*.c',
'**/*.cpp',
'**/*.cl'
]
pull_request:
types: [opened, synchronize, reopened]
paths: [
'.github/workflows/build-opencl.yml',
'ggml/src/ggml-opencl/**'
]
cache-mode: write
permissions:
actions: write
contents: read
concurrency:
group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
cancel-in-progress: true
env:
GGML_NLOOP: 3
GGML_N_THREADS: 1
LLAMA_ARG_LOG_COLORS: 1
LLAMA_ARG_LOG_PREFIX: 1
LLAMA_ARG_LOG_TIMESTAMPS: 1
jobs:
windows-2025-opencl-adreno:
runs-on: windows-2025
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: ccache
uses: ggml-org/ccache-action@v1.2.24
with:
key: opencl-windows-2025-x64
variant: ccache
evict-old-files: 1d
save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
- name: Install Ninja
id: install_ninja
run: |
choco install ninja
- name: Install OpenCL Headers and Libs
id: install_opencl
run: |
git clone https://github.com/KhronosGroup/OpenCL-Headers
cd OpenCL-Headers
cmake -B build `
-DBUILD_TESTING=OFF `
-DOPENCL_HEADERS_BUILD_TESTING=OFF `
-DOPENCL_HEADERS_BUILD_CXX_TESTS=OFF `
-DCMAKE_INSTALL_PREFIX="$env:RUNNER_TEMP/opencl-arm64-release"
cmake --build build --target install
git clone https://github.com/KhronosGroup/OpenCL-ICD-Loader
cd OpenCL-ICD-Loader
cmake -B build-arm64-release `
-A arm64 `
-DCMAKE_PREFIX_PATH="$env:RUNNER_TEMP/opencl-arm64-release" `
-DCMAKE_INSTALL_PREFIX="$env:RUNNER_TEMP/opencl-arm64-release"
cmake --build build-arm64-release --target install --config release
- name: Build
id: cmake_build
run: |
cmake -S . -B build -G "Ninja Multi-Config" -D CMAKE_TOOLCHAIN_FILE=cmake/arm64-windows-llvm.cmake -DCMAKE_PREFIX_PATH="$env:RUNNER_TEMP/opencl-arm64-release" -DGGML_OPENCL=ON -DGGML_OPENCL_USE_ADRENO_KERNELS=ON -DLLAMA_BUILD_BORINGSSL=ON
cmake --build build --config Release -j ${env:NUMBER_OF_PROCESSORS}
- name: ccache-clear
uses: ./.github/actions/ccache-clear
env:
GH_TOKEN: ${{ github.token }}
with:
key: opencl-windows-2025-x64
older: 5m
min: 1
dry-run: ${{ github.event_name != 'push' || github.ref != 'refs/heads/master' }}
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name: CI (openvino)
on:
workflow_dispatch: # allows manual triggering
push:
branches:
- master
paths: [
'.github/workflows/build-openvino.yml',
'**/CMakeLists.txt',
'**/.cmake',
'**/*.h',
'**/*.hpp',
'**/*.c',
'**/*.cpp',
]
pull_request:
types: [opened, synchronize, reopened]
paths: [
'.github/workflows/build-openvino.yml',
'ggml/src/ggml-openvino/**'
]
cache-mode: none
permissions:
contents: read
concurrency:
group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
cancel-in-progress: true
env:
GGML_NLOOP: 3
GGML_N_THREADS: 1
LLAMA_ARG_LOG_COLORS: 1
LLAMA_ARG_LOG_PREFIX: 1
LLAMA_ARG_LOG_TIMESTAMPS: 1
# TODO: fix failing tests on OpenVINO backend
CTEST_EXCLUDE: "test-llama-archs|test-llama-context"
jobs:
ubuntu-24-openvino:
runs-on: [self-hosted, Linux, Intel, OpenVINO]
env:
# Sync versions in build-openvino.yml, ci-self-hosted-openvino.yml, release.yml, release-publish.yml, build-cache.yml, .devops/openvino.Dockerfile, docs/backend/OPENVINO.md
OPENVINO_VERSION_MAJOR: "2026.4.1"
OPENVINO_VERSION_FULL: "2026.4.1.22982.07f9c262b05"
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: Dependencies
id: depends
run: |
sudo apt-get update
sudo apt-get install -y build-essential libssl-dev libtbb12 cmake ninja-build python3-pip
sudo apt-get install -y ocl-icd-opencl-dev opencl-headers opencl-clhpp-headers intel-opencl-icd
- name: Setup OpenVINO Toolkit
uses: ./.github/actions/linux-setup-openvino
with:
path: ./openvino_toolkit
version_major: ${{ env.OPENVINO_VERSION_MAJOR }}
version_full: ${{ env.OPENVINO_VERSION_FULL }}
- name: Install OpenVINO dependencies
run: |
cd ./openvino_toolkit
chmod +x ./install_dependencies/install_openvino_dependencies.sh
echo "Y" | sudo -E ./install_dependencies/install_openvino_dependencies.sh
- name: Build
id: cmake_build
run: |
source ./openvino_toolkit/setupvars.sh
cmake -B build/ReleaseOV -G Ninja \
-DCMAKE_BUILD_TYPE=Release \
-DGGML_OPENVINO=ON
time cmake --build build/ReleaseOV --config Release --parallel
- name: Test (CPU)
id: cmake_test_cpu
run: |
cd ${{ github.workspace }}
ctest --test-dir build/ReleaseOV -L main -E "${{ env.CTEST_EXCLUDE }}" --verbose --timeout 3000
- name: Test (GPU)
id: cmake_test_gpu
run: |
cd ${{ github.workspace }}
export GGML_OPENVINO_DEVICE=GPU
ctest --test-dir build/ReleaseOV -L main -E "${{ env.CTEST_EXCLUDE }}" --verbose --timeout 3000
openvino-windows-2022:
runs-on: windows-2022
cache-mode: write
permissions:
actions: write
contents: read
env:
# Sync versions in build-openvino.yml, ci-self-hosted-openvino.yml, release.yml, release-publish.yml, build-cache.yml, .devops/openvino.Dockerfile, docs/backend/OPENVINO.md
OPENVINO_VERSION_MAJOR: "2026.4.1"
OPENVINO_VERSION_FULL: "2026.4.1.22982.07f9c262b05"
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: ccache
uses: ggml-org/ccache-action@v1.2.24
with:
key: openvino-windows-2022
variant: ccache
evict-old-files: 1d
save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
- name: Setup Cache
uses: actions/cache@v5
id: cache-openvino
with:
path: ./openvino_toolkit
key: cache-gha-openvino-toolkit-v${{ env.OPENVINO_VERSION_FULL }}-${{ runner.os }}
- name: Setup OpenVINO Toolkit
if: steps.cache-openvino.outputs.cache-hit != 'true'
uses: ./.github/actions/windows-setup-openvino
with:
path: ./openvino_toolkit
version_major: ${{ env.OPENVINO_VERSION_MAJOR }}
version_full: ${{ env.OPENVINO_VERSION_FULL }}
- name: Install OpenCL using vcpkg
shell: powershell
run: |
git clone https://github.com/microsoft/vcpkg C:\vcpkg
C:\vcpkg\bootstrap-vcpkg.bat
C:\vcpkg\vcpkg install opencl
- name: Build
id: cmake_build
shell: cmd
run: |
REM Find extracted OpenVINO folder dynamically
for /d %%i in (openvino_toolkit\*) do set OPENVINO_ROOT=%%i
if not exist "%OPENVINO_ROOT%\runtime\cmake\OpenVINOConfig.cmake" (
echo ERROR: OpenVINOConfig.cmake not found
exit /b 1
)
call "%OPENVINO_ROOT%\setupvars.bat"
cmake -B build\ReleaseOV -G "Visual Studio 17 2022" ^
-A x64 ^
-DCMAKE_BUILD_TYPE=Release ^
-DGGML_OPENVINO=ON ^
-DCMAKE_TOOLCHAIN_FILE=C:\vcpkg\scripts\buildsystems\vcpkg.cmake
cmake --build build\ReleaseOV --config Release -- /m
- name: Test (CPU)
id: cmake_test_cpu
shell: cmd
run: |
REM Find extracted OpenVINO folder dynamically
for /d %%i in (openvino_toolkit\*) do set OPENVINO_ROOT=%%i
call "%OPENVINO_ROOT%\setupvars.bat"
cd build
ctest --test-dir ReleaseOV -L main -E "${{ env.CTEST_EXCLUDE }}" -C Release --verbose --timeout 3000
- name: ccache-clear
uses: ./.github/actions/ccache-clear
env:
GH_TOKEN: ${{ github.token }}
with:
key: openvino-windows-2022
older: 5m
min: 1
dry-run: ${{ github.event_name != 'push' || github.ref != 'refs/heads/master' }}
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name: CI (riscv)
on:
workflow_dispatch: # allows manual triggering
push:
branches:
- master
paths: [
'.github/workflows/build-riscv.yml',
'**/CMakeLists.txt',
'**/.cmake',
'**/*.h',
'**/*.hpp',
'**/*.c',
'**/*.cpp'
]
pull_request:
types: [opened, synchronize, reopened]
paths: [
'.github/workflows/build-riscv.yml',
'ggml/src/ggml-cpu/arch/riscv/**'
]
cache-mode: none
permissions:
contents: read
concurrency:
group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
cancel-in-progress: true
env:
GGML_NLOOP: 3
GGML_N_THREADS: 1
LLAMA_ARG_LOG_COLORS: 1
LLAMA_ARG_LOG_PREFIX: 1
LLAMA_ARG_LOG_TIMESTAMPS: 1
jobs:
ubuntu-cpu-riscv64-native:
runs-on: ubuntu-24.04-riscv
steps:
- name: Install dependencies
run: |
# Install necessary packages
sudo apt-get update
sudo apt-get install -y libssl-dev
# Set gcc-14 and g++-14 as the default compilers
sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-14 100
sudo update-alternatives --install /usr/bin/g++ g++ /usr/bin/g++-14 100
git lfs install
- name: Check environment
run: |
uname -a
gcc --version
g++ --version
ldd --version
cmake --version
rustc --version
env
echo "nproc=$(nproc)"
- name: Clone
id: checkout
uses: actions/checkout@v6
# note: sparing some ccache since these jobs run on dedicated runners that are not part of the organitzation
#- name: ccache
# uses: ggml-org/ccache-action@v1.2.24
# with:
# key: riscv-ubuntu-native
# evict-old-files: 1d
# save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
- name: Build
id: cmake_build
run: |
cmake -B build \
-DCMAKE_BUILD_TYPE=Release \
-DGGML_OPENMP=OFF \
-DLLAMA_BUILD_EXAMPLES=ON \
-DLLAMA_BUILD_TOOLS=ON \
-DLLAMA_BUILD_TESTS=ON \
-DCMAKE_C_COMPILER_LAUNCHER=ccache \
-DCMAKE_CXX_COMPILER_LAUNCHER=ccache \
-DGGML_RPC=ON \
-DCMAKE_C_COMPILER=riscv64-linux-gnu-gcc-14 \
-DCMAKE_CXX_COMPILER=riscv64-linux-gnu-g++-14
time cmake --build build --config Release -j $(nproc)
- name: Test
id: cmake_test
run: |
cd build
ctest -L main --verbose --timeout 900
- name: Test llama2c conversion
id: llama2c_test
run: |
cd build
echo "Fetch tokenizer"
wget https://huggingface.co/karpathy/tinyllamas/resolve/main/stories260K/tok512.bin
echo "Fetch llama2c model"
wget https://huggingface.co/karpathy/tinyllamas/resolve/main/stories260K/stories260K.bin
./bin/llama-convert-llama2c-to-ggml --copy-vocab-from-model ./tok512.bin --llama2c-model stories260K.bin --llama2c-output-model stories260K.gguf
./bin/llama-completion -m stories260K.gguf -p "One day, Lily met a Shoggoth" -n 500 -c 256
+110
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name: CI (sanitize)
on:
workflow_dispatch: # allows manual triggering
push:
branches:
- master
paths: [
'.github/workflows/build-sanitize.yml',
'**/CMakeLists.txt',
'**/.cmake',
'**/*.h',
'**/*.hpp',
'**/*.c',
'**/*.cpp'
]
pull_request:
types: [opened, synchronize, reopened]
paths: [
'.github/workflows/build-sanitize.yml'
]
cache-mode: none
permissions:
contents: read
concurrency:
group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
cancel-in-progress: true
env:
GGML_NLOOP: 3
GGML_N_THREADS: 1
LLAMA_ARG_LOG_COLORS: 1
LLAMA_ARG_LOG_PREFIX: 1
LLAMA_ARG_LOG_TIMESTAMPS: 1
jobs:
ctest:
continue-on-error: true
strategy:
matrix:
include:
# thread and address doesn't run properly on some self hosted machines, so run it on Github instead
- sanitizer: ADDRESS
machine: ubuntu-24.04
- sanitizer: THREAD
machine: ubuntu-24.04
- sanitizer: UNDEFINED
machine: [self-hosted, X64, Linux, CPU]
runs-on: ${{ matrix.machine }}
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
# - name: ccache
# uses: ggml-org/ccache-action@v1.2.24
# if: ${{ matrix.sanitizer != 'UNDEFINED' }}
# with:
# key: ctest-${{ matrix.sanitizer }}-ubuntu-24.04
# variant: ccache
# evict-old-files: 1d
# save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
# with UNDEFINED sanitizer, we have to build in Debug to avoid GCC 13 false-positive warnings
- name: Build (undefined)
id: cmake_build_undefined
if: ${{ matrix.sanitizer == 'UNDEFINED' }}
run: |
cmake -B build \
-DCMAKE_BUILD_TYPE=Debug \
-DLLAMA_FATAL_WARNINGS=ON \
-DLLAMA_SANITIZE_${{ matrix.sanitizer }}=ON \
-DGGML_SANITIZE_${{ matrix.sanitizer }}=ON
cmake --build build --config Debug -j $(nproc)
- name: Build
id: cmake_build
if: ${{ matrix.sanitizer == 'ADDRESS' }}
run: |
cmake -B build \
-DCMAKE_BUILD_TYPE=RelWithDebInfo \
-DLLAMA_SANITIZE_${{ matrix.sanitizer }}=ON \
-DGGML_SANITIZE_${{ matrix.sanitizer }}=ON
cmake --build build --config RelWithDebInfo -j $(nproc)
- name: Build (no OpenMP)
id: cmake_build_no_openmp
if: ${{ matrix.sanitizer == 'THREAD' }}
run: |
cmake -B build \
-DCMAKE_BUILD_TYPE=RelWithDebInfo \
-DLLAMA_SANITIZE_${{ matrix.sanitizer }}=ON \
-DGGML_SANITIZE_${{ matrix.sanitizer }}=ON \
-DGGML_OPENMP=OFF
cmake --build build --config RelWithDebInfo -j $(nproc)
- name: Test
id: cmake_test
run: |
cd build
ctest -L main -E tokenizer --verbose --timeout 900
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name: CI (sycl)
on:
workflow_dispatch: # allows manual triggering
push:
branches:
- master
paths: [
'.github/workflows/build-sycl.yml',
'**/CMakeLists.txt',
'**/.cmake',
'**/*.h',
'**/*.hpp',
'**/*.c',
'**/*.cpp'
]
pull_request:
types: [opened, synchronize, reopened]
paths: [
'.github/workflows/build-sycl.yml',
'ggml/src/ggml-sycl/**'
]
cache-mode: none
permissions:
contents: read
concurrency:
group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
cancel-in-progress: true
env:
GGML_NLOOP: 3
GGML_N_THREADS: 1
LLAMA_ARG_LOG_COLORS: 1
LLAMA_ARG_LOG_PREFIX: 1
LLAMA_ARG_LOG_TIMESTAMPS: 1
jobs:
ubuntu-24-sycl:
strategy:
matrix:
build: [fp32, fp16]
include:
- build: fp32
fp16: OFF
- build: fp16
fp16: ON
runs-on: ubuntu-24.04
env:
ONEAPI_ROOT: /opt/intel/oneapi/
ONEAPI_INSTALLER_VERSION: "2026.1"
LEVEL_ZERO_VERSION: "1.33.1"
LEVEL_ZERO_UBUNTU_VERSION: "u24.04"
continue-on-error: true
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: Download & Install oneAPI
shell: bash
run: |
cd /tmp
echo "Download oneAPI Deep Learning Essentials installation package"
wget https://registrationcenter-download.intel.com/akdlm/IRC_NAS/b5c100a7-8052-4e88-90e2-63d9916a998b/intel-deep-learning-essentials-2026.1.4.17_offline.sh -O intel-deep-learning-essentials_offline.sh
echo "Install oneAPI Deep Learning Essentials components"
sudo bash intel-deep-learning-essentials_offline.sh -s -a --silent --eula accept
echo "Download oneDNN installation package"
wget https://registrationcenter-download.intel.com/akdlm/IRC_NAS/94c3dbac-0852-45be-a57d-21c204cada3e/intel-onednn-2026.0.2.46_offline.sh -O intel-onednn_offline.sh
echo "Install oneDNN components"
sudo bash intel-onednn_offline.sh -s -a --silent --eula accept
- name: Install Level Zero SDK
shell: bash
run: |
cd /tmp
# v1.33.x renamed the Debian packages to libze1 / libze-dev
wget -q "https://github.com/oneapi-src/level-zero/releases/download/v${LEVEL_ZERO_VERSION}/libze1_${LEVEL_ZERO_VERSION}%2B${LEVEL_ZERO_UBUNTU_VERSION}_amd64.deb" -O libze1.deb
wget -q "https://github.com/oneapi-src/level-zero/releases/download/v${LEVEL_ZERO_VERSION}/libze-dev_${LEVEL_ZERO_VERSION}%2B${LEVEL_ZERO_UBUNTU_VERSION}_amd64.deb" -O libze-dev.deb
sudo apt-get install -y ./libze1.deb ./libze-dev.deb
- name: Dependencies
id: depends
run: |
sudo apt-get update
sudo apt-get install -y libssl-dev
- name: ccache
uses: ggml-org/ccache-action@v1.2.24
with:
restore: false
save: false
- name: ccache-buckets-restore
uses: ./.github/actions/ccache-buckets
env:
HF_TOKEN: ${{ secrets.HF_TOKEN_CI }}
with:
key: sycl-ubuntu-24-${{ matrix.build }}
folder: llama.cpp
hf_bucket: ggml-org/cache
- name: Build
id: cmake_build
run: |
source /opt/intel/oneapi/setvars.sh
cmake -B build \
-G "Ninja" \
-DCMAKE_BUILD_TYPE=Release \
-DGGML_SYCL=ON \
-DCMAKE_C_COMPILER=icx \
-DCMAKE_CXX_COMPILER=icpx \
-DGGML_NATIVE=OFF \
-DGGML_SYCL_F16=${{ matrix.fp16 }} \
-DGGML_SYCL_SUPPORT_LEVEL_ZERO_API=ON \
-DGGML_SYCL_DNN=ON \
-DCMAKE_CXX_FLAGS="-fsycl-unnamed-lambda" \
-DCMAKE_EXE_LINKER_FLAGS="-fsycl-unnamed-lambda"
time cmake --build build --config Release -j $(nproc)
- name: ccache-buckets-save
if: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
uses: ./.github/actions/ccache-buckets
env:
HF_TOKEN: ${{ secrets.HF_TOKEN_CACHE_OUTPUT }}
with:
key: sycl-ubuntu-24-${{ matrix.build }}
folder: llama.cpp
evict-old-files: 1d
hf_bucket: ggml-org/cache
save: true
windows-latest-sycl:
runs-on: windows-2022
cache-mode: write
permissions:
actions: write
contents: read
defaults:
run:
shell: bash
env:
WINDOWS_DLE_URL: https://registrationcenter-download.intel.com/akdlm/IRC_NAS/a51104eb-6f4a-4a0e-9dae-1b81b0c81ae1/intel-deep-learning-essentials-2026.1.4.16_offline.exe
WINDOWS_ONEDNN_URL: https://registrationcenter-download.intel.com/akdlm/IRC_NAS/34e28083-d04b-46a3-826c-8c1d00bf1e1c/intel-onednn-2026.0.2.47_offline.exe
WINDOWS_DPCPP_MKL: intel.oneapi.win.cpp-dpcpp-common:intel.oneapi.win.mkl.devel:intel.oneapi.win.tbb.devel
WINDOWS_DNNL: intel.oneapi.win.dnnl
LEVEL_ZERO_SDK_URL: https://github.com/oneapi-src/level-zero/releases/download/v1.33.1/level-zero-win-sdk-1.33.1.zip
ONEAPI_ROOT: "C:/Program Files (x86)/Intel/oneAPI"
ONEAPI_INSTALLER_VERSION: "2026.1"
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: Download & Install oneAPI
shell: bash
run: |
scripts/install-oneapi.bat $WINDOWS_DLE_URL $WINDOWS_DPCPP_MKL
scripts/install-oneapi.bat $WINDOWS_ONEDNN_URL $WINDOWS_DNNL
- name: Install Level Zero SDK
shell: pwsh
run: |
Invoke-WebRequest -Uri "${{ env.LEVEL_ZERO_SDK_URL }}" -OutFile "level-zero-win-sdk.zip"
Expand-Archive -Path "level-zero-win-sdk.zip" -DestinationPath "C:/level-zero-sdk" -Force
"LEVEL_ZERO_V1_SDK_PATH=C:/level-zero-sdk" | Out-File -FilePath $env:GITHUB_ENV -Append
- name: ccache
uses: ggml-org/ccache-action@v1.2.24
with:
key: sycl-windows-latest
variant: ccache
evict-old-files: 1d
save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
# TODO: add ssl support ; we will also need to modify win-build-sycl.bat to accept user-specified args
- name: Build
id: cmake_build
run: examples/sycl/win-build-sycl.bat
- name: ccache-clear
uses: ./.github/actions/ccache-clear
env:
GH_TOKEN: ${{ github.token }}
with:
key: sycl-windows-latest
older: 5m
min: 1
dry-run: ${{ github.event_name != 'push' || github.ref != 'refs/heads/master' }}
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name: CI (virtgpu)
on:
workflow_dispatch: # allows manual triggering
push:
branches:
- master
paths: [
'.github/workflows/build-virtgpu.yml',
'**/CMakeLists.txt',
'**/.cmake',
'**/*.h',
'**/*.hpp',
'**/*.c',
'**/*.cpp'
]
pull_request:
types: [opened, synchronize, reopened]
paths: [
'.github/workflows/build-virtgpu.yml',
'ggml/src/ggml-virtgpu/**'
]
cache-mode: none
permissions:
contents: read
concurrency:
group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
cancel-in-progress: true
jobs:
ubuntu-24-virtgpu:
runs-on: ${{ 'ubuntu-24.04-arm' || 'ubuntu-24.04' }}
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: Dependencies
id: depends
run: |
sudo apt-get update
sudo apt-get install -y build-essential libdrm-dev pkg-config libssl-dev
- name: Build
id: cmake_build
run: |
cmake -B build \
-DGGML_VIRTGPU=ON \
-DGGML_VIRTGPU_BACKEND=ON
cmake --build build --config Release -j $(nproc)
+248
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name: CI (vulkan)
on:
workflow_dispatch: # allows manual triggering
push:
branches:
- master
paths: [
'.github/workflows/build-vulkan.yml',
'**/CMakeLists.txt',
'**/.cmake',
'**/*.h',
'**/*.hpp',
'**/*.c',
'**/*.cpp',
'**/*.comp',
'**/*.glsl'
]
pull_request:
types: [opened, synchronize, reopened]
paths: [
'.github/workflows/build-vulkan.yml',
'ggml/src/ggml-vulkan/**'
]
cache-mode: none
permissions:
contents: read
concurrency:
group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
cancel-in-progress: true
env:
GGML_NLOOP: 3
GGML_N_THREADS: 1
GGML_SCHED_DEBUG_REALLOC: 1
LLAMA_ARG_LOG_COLORS: 1
LLAMA_ARG_LOG_PREFIX: 1
LLAMA_ARG_LOG_TIMESTAMPS: 1
jobs:
ubuntu-arm64:
runs-on: ubuntu-24.04-arm
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: Dependencies
id: depends
run: |
sudo apt-get update
sudo apt-get install -y gcc-14 g++-14 build-essential glslc libvulkan-dev spirv-headers libssl-dev ninja-build
echo "CC=gcc-14" >> "$GITHUB_ENV"
echo "CXX=g++-14" >> "$GITHUB_ENV"
- name: ccache
uses: ggml-org/ccache-action@v1.2.24
with:
restore: false
variant: ccache
save: false
- name: ccache-buckets-restore
uses: ./.github/actions/ccache-buckets
env:
HF_TOKEN: ${{ secrets.HF_TOKEN_CI }}
with:
key: vulkan-ubuntu-24.04-arm
folder: llama.cpp
hf_bucket: ggml-org/cache
- name: Configure
id: cmake_configure
run: |
cmake -B build \
-G "Ninja" \
-DCMAKE_BUILD_TYPE=Release \
-DGGML_VULKAN=ON
- name: Build
id: cmake_build
run: |
time cmake --build build -j $(nproc)
- name: ccache-buckets-save
if: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
uses: ./.github/actions/ccache-buckets
env:
HF_TOKEN: ${{ secrets.HF_TOKEN_CACHE_OUTPUT }}
with:
key: vulkan-ubuntu-24.04-arm
folder: llama.cpp
evict-old-files: 1d
hf_bucket: ggml-org/cache
save: true
ubuntu-llvmpipe:
runs-on: ubuntu-24.04
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: Dependencies
id: depends
run: |
sudo add-apt-repository -y ppa:kisak/kisak-mesa
sudo apt-get update -y
sudo apt-get install -y build-essential mesa-vulkan-drivers libxcb-xinput0 libxcb-xinerama0 libxcb-cursor-dev libssl-dev
- name: Get latest Vulkan SDK version
id: vulkan_sdk_version
run: |
echo "VULKAN_SDK_VERSION=$(curl https://vulkan.lunarg.com/sdk/latest/linux.txt)" >> "$GITHUB_ENV"
- name: Setup Vulkan SDK
id: setup
uses: ./.github/actions/unarchive-tar
with:
url: https://sdk.lunarg.com/sdk/download/${{ env.VULKAN_SDK_VERSION }}/linux/vulkan_sdk.tar.xz
path: ./vulkan_sdk
strip: 1
- name: ccache
uses: ggml-org/ccache-action@v1.2.24
with:
restore: false
save: false
- name: ccache-buckets-restore
uses: ./.github/actions/ccache-buckets
env:
HF_TOKEN: ${{ secrets.HF_TOKEN_CI }}
with:
key: vulkan-ubuntu-24.04-llvmpipe
folder: llama.cpp
hf_bucket: ggml-org/cache
- name: Build
id: cmake_build
run: |
source ./vulkan_sdk/setup-env.sh
cmake -B build \
-DGGML_NATIVE=OFF \
-DGGML_VULKAN=ON
cmake --build build --config Release -j $(nproc)
- name: ccache-buckets-save
if: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
uses: ./.github/actions/ccache-buckets
env:
HF_TOKEN: ${{ secrets.HF_TOKEN_CACHE_OUTPUT }}
with:
key: vulkan-ubuntu-24.04-llvmpipe
folder: llama.cpp
evict-old-files: 1d
hf_bucket: ggml-org/cache
save: true
- name: Test
id: cmake_test
run: |
cd build
export GGML_VK_VISIBLE_DEVICES=0
export GGML_VK_DISABLE_F16=1
export GGML_VK_DISABLE_COOPMAT=1
ctest -L main --verbose --timeout 900
windows:
name: windows / ${{ matrix.arch }}
runs-on: windows-2025
cache-mode: write
permissions:
actions: write
contents: read
strategy:
matrix:
include:
- arch: 'x64'
- arch: 'arm64'
env:
VULKAN_VERSION: 1.4.357.0
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: ccache
uses: ggml-org/ccache-action@v1.2.24
with:
key: cpu-windows-2025-${{ matrix.arch }}-vulkan
variant: ccache
evict-old-files: 1d
save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
- name: Install Vulkan SDK
id: get_vulkan
run: |
curl.exe -o $env:RUNNER_TEMP/VulkanSDK-Installer.exe -L "https://sdk.lunarg.com/sdk/download/${env:VULKAN_VERSION}/windows/vulkansdk-windows-X64-${env:VULKAN_VERSION}.exe"
& "$env:RUNNER_TEMP\VulkanSDK-Installer.exe" --accept-licenses --default-answer --confirm-command install ${{ matrix.arch == 'arm64' && 'com.lunarg.vulkan.arm64' || '' }}
Add-Content $env:GITHUB_ENV "VULKAN_SDK=C:\VulkanSDK\${env:VULKAN_VERSION}"
Add-Content $env:GITHUB_PATH "C:\VulkanSDK\${env:VULKAN_VERSION}\bin"
- name: Install Ninja
id: install_ninja
run: |
choco install ninja
- name: Build
id: cmake_build
run: |
cmake -S . -B build -G "Ninja Multi-Config" `
-D CMAKE_TOOLCHAIN_FILE=cmake/${{ matrix.arch }}-windows-llvm.cmake `
-DCMAKE_BUILD_TYPE=Release `
-DGGML_NATIVE=OFF `
-DLLAMA_BUILD_SERVER=ON `
-DGGML_RPC=ON `
-DGGML_BACKEND_DL=ON `
-DGGML_CPU_ALL_VARIANTS=${{ matrix.arch == 'x64' && 'ON' || 'OFF' }} `
-DGGML_VULKAN=ON `
-DLLAMA_BUILD_BORINGSSL=ON
cmake --build build --config Release -j ${env:NUMBER_OF_PROCESSORS}
- name: Test
if: ${{ matrix.arch == 'x64' }}
id: cmake_test
run: |
cd build
ctest -L main -C Release --verbose --timeout 900
- name: ccache-clear
uses: ./.github/actions/ccache-clear
env:
GH_TOKEN: ${{ github.token }}
with:
key: cpu-windows-2025-${{ matrix.arch }}-vulkan
older: 5m
min: 1
dry-run: ${{ github.event_name != 'push' || github.ref != 'refs/heads/master' }}
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name: CI (wasi)
on:
workflow_dispatch: # allows manual triggering
push:
branches:
- master
paths: [
'.github/workflows/build-wasi.yml',
'**/CMakeLists.txt',
'**/.cmake',
'**/*.h',
'**/*.hpp',
'**/*.c',
'**/*.cpp',
'**/*.wgsl',
'**/*.tmpl',
'ggml/src/ggml-webgpu/wgsl-shaders/embed_wgsl.py'
]
pull_request:
types: [opened, synchronize, reopened]
paths: [
'.github/workflows/build-wasi.yml',
'**/CMakeLists.txt',
'**/.cmake',
'**/*.h',
'**/*.hpp',
'**/*.c',
'**/*.cpp',
'**/*.wgsl',
'**/*.tmpl',
'ggml/src/ggml-webgpu/wgsl-shaders/embed_wgsl.py'
]
cache-mode: none
permissions:
contents: read
concurrency:
group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
cancel-in-progress: true
env:
WASI_SDK_VERSION: 34
DAWN_VERSION: v20260908.214631
DAWN_COMMIT: 94c3c9cc0d5fb2e85aebb370fa8d37b71aa34655
WASI_WEBGPU_HEADERS_COMMIT: 917765edd7cb8f8cf95bda1217514c78f71b582b
jobs:
ubuntu-webgpu:
runs-on: ubuntu-24.04-arm
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: ccache
uses: ggml-org/ccache-action@v1.2.24
with:
restore: false
save: false
- name: Install wasi-sdk
uses: bytecodealliance/setup-wasi-sdk-action@77d09f3df1e8da344d8403cf8631af8977938b4c # v1.0.0
with:
version: ${{ env.WASI_SDK_VERSION }}
add-to-path: false
- name: wasi:webgpu Dependency
run: |
mkdir -p wasi-webgpu/dawn-headers
curl -fL "https://github.com/google/dawn/releases/download/${DAWN_VERSION}/dawn-headers-${DAWN_COMMIT}.tar.gz" |
tar -xz -C wasi-webgpu/dawn-headers --strip-components=1
git init -q wasi-webgpu/wasi-webgpu-headers
cd wasi-webgpu/wasi-webgpu-headers
git fetch -q --depth 1 https://github.com/wasi-gfx/wasi-webgpu-headers.git ${WASI_WEBGPU_HEADERS_COMMIT}
git checkout -q FETCH_HEAD
git submodule update -q --init --depth 1
cd ../..
# ggml-webgpu does find_package(Dawn) and links dawn::webgpu_dawn. There is no Dawn on WASI,
# so this target instead compiles wasi-webgpu-headers (webgpu.h over wasi:webgpu imports)
# and exposes Dawn's webgpu_cpp.h on top of it.
cat > wasi-webgpu/DawnConfig.cmake << 'EOF'
set(_wasi_webgpu "${CMAKE_CURRENT_LIST_DIR}/wasi-webgpu-headers")
add_library(dawn::webgpu_dawn INTERFACE IMPORTED)
set_target_properties(dawn::webgpu_dawn PROPERTIES
INTERFACE_SOURCES "${_wasi_webgpu}/webgpu.c;${_wasi_webgpu}/async_futures.c;${_wasi_webgpu}/imports.c;${_wasi_webgpu}/imports_component_type.o"
INTERFACE_INCLUDE_DIRECTORIES "${CMAKE_CURRENT_LIST_DIR}/dawn-headers/include/webgpu_upstream;${_wasi_webgpu}")
EOF
- name: ccache-buckets-restore
uses: ./.github/actions/ccache-buckets
env:
HF_TOKEN: ${{ secrets.HF_TOKEN_CI }}
with:
key: webgpu-ubuntu-24.04-arm-wasi
folder: llama.cpp
hf_bucket: ggml-org/cache
# llama-common does not build for WASI, so the executables are linked by hand
- name: Build
id: cmake_build
run: |
WASI_FLAGS="-msimd128 -D_WASI_EMULATED_SIGNAL -fwasm-exceptions -mllvm -wasm-use-legacy-eh=false"
cmake -B build-wasi \
-G "Ninja" \
-DCMAKE_TOOLCHAIN_FILE=${WASI_SDK_PATH}/share/cmake/wasi-sdk-p3.cmake \
-DCMAKE_BUILD_TYPE=Release \
-DCMAKE_C_FLAGS="${WASI_FLAGS}" \
-DCMAKE_CXX_FLAGS="${WASI_FLAGS}" \
-DCMAKE_HAVE_LIBC_PTHREAD=1 \
-DBUILD_SHARED_LIBS=OFF \
-DGGML_NATIVE=OFF \
-DGGML_OPENMP=OFF \
-DGGML_WEBGPU=ON \
-DDawn_DIR=$PWD/wasi-webgpu \
-DLLAMA_BUILD_COMMON=OFF
time cmake --build build-wasi --config Release --target llama -j $(nproc)
LIBS="build-wasi/ggml/src/libggml.a build-wasi/ggml/src/ggml-webgpu/libggml-webgpu.a build-wasi/ggml/src/libggml-cpu.a build-wasi/ggml/src/libggml-base.a"
LDFLAGS="-lunwind -ldl -Wl,-z,stack-size=8388608"
CXX="${WASI_SDK_PATH}/bin/clang++ --target=wasm32-wasip3 -O3 -std=c++17 ${WASI_FLAGS} -I include -I ggml/include"
$CXX examples/simple/simple.cpp build-wasi/src/libllama.a $LIBS $LDFLAGS -o build-wasi/llama-simple.wasm
$CXX tests/test-backend-ops.cpp $LIBS $LDFLAGS -o build-wasi/test-backend-ops.wasm
- name: ccache-buckets-save
if: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
uses: ./.github/actions/ccache-buckets
env:
HF_TOKEN: ${{ secrets.HF_TOKEN_CACHE_OUTPUT }}
with:
key: webgpu-ubuntu-24.04-arm-wasi
folder: llama.cpp
evict-old-files: 1d
hf_bucket: ggml-org/cache
save: true
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name: CI (wasm)
on:
workflow_dispatch: # allows manual triggering
push:
branches:
- master
paths: [
'.github/workflows/build-wasm.yml',
'**/CMakeLists.txt',
'**/.cmake',
'**/*.h',
'**/*.hpp',
'**/*.c',
'**/*.cpp',
'**/*.wgsl',
'**/*.tmpl',
'ggml/src/ggml-webgpu/wgsl-shaders/embed_wgsl.py'
]
pull_request:
types: [opened, synchronize, reopened]
paths: [
'.github/workflows/build-wasm.yml',
'**/CMakeLists.txt',
'**/.cmake',
'**/*.h',
'**/*.hpp',
'**/*.c',
'**/*.cpp',
'**/*.wgsl',
'**/*.tmpl',
'ggml/src/ggml-webgpu/wgsl-shaders/embed_wgsl.py'
]
cache-mode: none
permissions:
contents: read
concurrency:
group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
cancel-in-progress: true
env:
GGML_NLOOP: 3
GGML_N_THREADS: 1
LLAMA_ARG_LOG_COLORS: 1
LLAMA_ARG_LOG_PREFIX: 1
LLAMA_ARG_LOG_TIMESTAMPS: 1
jobs:
ubuntu-webgpu:
runs-on: ubuntu-24.04-arm
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: ccache
uses: ggml-org/ccache-action@v1.2.24
with:
restore: false
save: false
- name: Install Emscripten
run: |
git clone https://github.com/emscripten-core/emsdk.git
cd emsdk
./emsdk install latest
./emsdk activate latest
- name: Fetch emdawnwebgpu
run: |
DAWN_TAG="v20260908.214631"
EMDAWN_PKG="emdawnwebgpu_pkg-${DAWN_TAG}.zip"
echo "Downloading ${EMDAWN_PKG}"
curl -L -o emdawn.zip \
"https://github.com/google/dawn/releases/download/${DAWN_TAG}/${EMDAWN_PKG}"
unzip emdawn.zip
- name: ccache-buckets-restore
uses: ./.github/actions/ccache-buckets
env:
HF_TOKEN: ${{ secrets.HF_TOKEN_CI }}
with:
key: webgpu-ubuntu-24.04-arm-wasm
folder: llama.cpp
hf_bucket: ggml-org/cache
- name: Build WASM WebGPU
run: |
source emsdk/emsdk_env.sh
emcmake cmake -B build-wasm \
-G "Ninja" \
-DCMAKE_BUILD_TYPE=Release \
-DGGML_WEBGPU=ON \
-DGGML_OPENMP=OFF \
-DLLAMA_OPENSSL=OFF \
-DEMDAWNWEBGPU_DIR=emdawnwebgpu_pkg
time cmake --build build-wasm --config Release --target test-backend-ops -j $(nproc)
- name: ccache-buckets-save
if: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
uses: ./.github/actions/ccache-buckets
env:
HF_TOKEN: ${{ secrets.HF_TOKEN_CACHE_OUTPUT }}
with:
key: webgpu-ubuntu-24.04-arm-wasm
folder: llama.cpp
evict-old-files: 1d
hf_bucket: ggml-org/cache
save: true
+57
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name: CI (webgpu)
on:
workflow_dispatch: # allows manual triggering
push:
branches:
- master
paths: [
'.github/workflows/build-webgpu.yml',
'ggml/src/ggml-webgpu/**'
]
pull_request:
types: [opened, synchronize, reopened]
paths: [
'.github/workflows/build-webgpu.yml',
'ggml/src/ggml-webgpu/**'
]
cache-mode: none
permissions:
contents: read
concurrency:
group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
cancel-in-progress: true
env:
GGML_NLOOP: 3
GGML_N_THREADS: 1
LLAMA_ARG_LOG_COLORS: 1
LLAMA_ARG_LOG_PREFIX: 1
LLAMA_ARG_LOG_TIMESTAMPS: 1
jobs:
format:
runs-on: ubuntu-24.04
steps:
- name: Clone
uses: actions/checkout@v6
- name: Install clang-format 22
run: |
wget -qO- https://apt.llvm.org/llvm-snapshot.gpg.key |
sudo tee /etc/apt/trusted.gpg.d/apt.llvm.org.asc > /dev/null
sudo add-apt-repository -y \
"deb http://apt.llvm.org/noble/ llvm-toolchain-noble-22 main"
sudo apt-get update
sudo apt-get install -y clang-format-22
- name: Check formatting
run: |
find ggml/src/ggml-webgpu \
-type f \( -name '*.cpp' -o -name '*.hpp' -o -name '*.h' \) \
-print0 |
xargs -0 clang-format-22 --dry-run --Werror
+56
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@@ -0,0 +1,56 @@
name: Check vendor
on:
workflow_dispatch: # allows manual triggering
push:
branches:
- master
paths: [
'vendor/**',
'scripts/sync_vendor.py'
]
pull_request:
types: [opened, synchronize, reopened]
paths: [
'vendor/**',
'scripts/sync_vendor.py'
]
cache-mode: none
permissions:
contents: read
jobs:
check-vendor:
runs-on: ubuntu-slim
steps:
- name: Checkout
uses: actions/checkout@v6
with:
fetch-depth: 0
- name: Setup Python
uses: actions/setup-python@v6
with:
python-version: '3.x'
- name: Run vendor sync
run: |
set -euo pipefail
python3 scripts/sync_vendor.py
- name: Check for changes
run: |
set -euo pipefail
# detect modified or untracked files
changed=$(git status --porcelain --untracked-files=all || true)
if [ -n "$changed" ]; then
echo "Vendor sync modified files:"
echo "$changed" | awk '{ print $2 }' | sed '/^$/d'
echo "Failing because vendor files mismatch. Please update scripts/sync_vendor.py"
exit 1
else
echo "Vendor files are up-to-date."
fi
+116
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name: CI (self-hosted CPU backend)
on:
workflow_dispatch: # allows manual triggering
push:
branches:
- master
paths: [
'.github/workflows/ci-self-hosted-cpu.yml',
'ci/run.sh',
'**/CMakeLists.txt',
'**/.cmake',
'**/*.h',
'**/*.hpp',
'**/*.c',
'**/*.cpp'
]
pull_request:
types: [opened, synchronize, reopened]
paths: [
'.github/workflows/ci-self-hosted-cpu.yml',
'ci/run.sh',
'**/CMakeLists.txt',
'**/.cmake',
'ggml/src/*',
'ggml/src/ggml-cpu/**'
]
cache-mode: none
permissions:
contents: read
concurrency:
group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
cancel-in-progress: true
env:
# note: this is dud token to avoid rate limiting (https://github.com/ggml-org/llama.cpp/pull/25706#issuecomment-4979941302)
HF_TOKEN: ${{ secrets.HF_TOKEN_CI }}
GGML_NLOOP: 3
GGML_N_THREADS: 1
LLAMA_ARG_LOG_COLORS: 1
LLAMA_ARG_LOG_PREFIX: 1
LLAMA_ARG_LOG_TIMESTAMPS: 1
jobs:
cpu-x64-high-perf:
runs-on: [self-hosted, Linux, X64, CPU]
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: Test
id: ggml-ci
run: |
LLAMA_ARG_THREADS=$(nproc) GG_BUILD_HIGH_PERF=1 GG_BUILD_EXTRA_TESTS_0=1 bash ./ci/run.sh ~/results/llama.cpp/$RUNNER_NAME ~/mnt/llama.cpp
cpu-arm64-high-perf-graviton4:
runs-on: ah-ubuntu_24_04-c8g_8x
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: Dependencies
id: depends
run: |
set -euxo pipefail
sudo apt-get update
sudo DEBIAN_FRONTEND=noninteractive NEEDRESTART_MODE=a \
apt-get install -y \
build-essential \
python3-venv \
gpg \
wget \
time \
git-lfs
git lfs install
# install the latest cmake
sudo install -d /usr/share/keyrings
wget -O - https://apt.kitware.com/keys/kitware-archive-latest.asc \
| gpg --dearmor \
| sudo tee /usr/share/keyrings/kitware-archive-keyring.gpg >/dev/null
echo 'deb [signed-by=/usr/share/keyrings/kitware-archive-keyring.gpg] https://apt.kitware.com/ubuntu/ jammy main' \
| sudo tee /etc/apt/sources.list.d/kitware.list
sudo apt-get update
sudo apt-get install -y cmake
- name: Test
id: ggml-ci
run: |
LLAMA_ARG_THREADS=$(nproc) \
GG_BUILD_HIGH_PERF=1 \
GG_BUILD_NO_BF16=1 \
GG_BUILD_EXTRA_TESTS_0=1 \
bash ./ci/run.sh ~/results/llama.cpp ~/mnt/llama.cpp
# TODO: provision AMX-compatible machine
#cpu-amx:
# runs-on: [self-hosted, Linux, CPU, AMX]
# steps:
# - name: Clone
# id: checkout
# uses: actions/checkout@v6
# - name: Test
# id: ggml-ci
# run: |
# bash ./ci/run.sh ~/results/llama.cpp ~/mnt/llama.cpp
+128
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name: CI (self-hosted CUDA backend)
on:
workflow_dispatch: # allows manual triggering
push:
branches:
- master
paths: [
'.github/workflows/ci-self-hosted-cuda.yml',
'ci/run.sh',
'**/CMakeLists.txt',
'**/.cmake',
'**/*.h',
'**/*.hpp',
'**/*.c',
'**/*.cpp',
'**/*.cu',
'**/*.cuh'
]
pull_request:
types: [opened, synchronize, reopened]
paths: [
'.github/workflows/ci-self-hosted-cuda.yml',
'ci/run.sh',
'**/CMakeLists.txt',
'**/.cmake',
'ggml/src/*',
'ggml/src/ggml-cpu/**',
'ggml/src/ggml-cuda/**'
]
cache-mode: none
permissions:
contents: read
concurrency:
group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
cancel-in-progress: true
env:
# note: this is dud token to avoid rate limiting (https://github.com/ggml-org/llama.cpp/pull/25706#issuecomment-4979941302)
HF_TOKEN: ${{ secrets.HF_TOKEN_CI }}
GGML_NLOOP: 3
GGML_N_THREADS: 1
LLAMA_ARG_LOG_COLORS: 1
LLAMA_ARG_LOG_PREFIX: 1
LLAMA_ARG_LOG_TIMESTAMPS: 1
jobs:
gpu-cuda:
runs-on: "hf-jobs-t4-medium:cuda13"
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: Install dependencies
run: |
sudo apt update
sudo apt install -y cmake libssl-dev time unzip wget python3 python3-venv python3-pip
- name: ccache
uses: ggml-org/ccache-action@v1.2.24
with:
restore: false
save: false
- name: ccache-buckets-restore
uses: ./.github/actions/ccache-buckets
with:
key: self-hosted-gpu-cuda
folder: llama.cpp
hf_bucket: ggml-org/cache
- name: Test
id: ggml-ci
run: |
nvidia-smi
GG_BUILD_CUDA=1 CUDACXX=/usr/local/cuda/bin/nvcc bash ./ci/run.sh ~/results/llama.cpp ~/mnt/llama.cpp
- name: ccache-buckets-save
if: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
uses: ./.github/actions/ccache-buckets
env:
HF_TOKEN: ${{ secrets.HF_TOKEN_CACHE_OUTPUT }}
with:
key: self-hosted-gpu-cuda
folder: llama.cpp
evict-old-files: 1d
hf_bucket: ggml-org/cache
save: true
gpu-rocm:
runs-on: [self-hosted, Linux, AMD]
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: Test
id: ggml-ci
# HIP_LAUNCH_BLOCKING=1: workaround for an async-execution correctness
# issue on integrated RDNA3.5 (gfx1151) where batched inference returns
# incorrect output (perplexity ~88 vs ~9.4). Serializing kernel launches
# restores correctness. Remove once the underlying ROCm/HIP issue is fixed.
env:
HIP_LAUNCH_BLOCKING: "1"
run: |
rocminfo
GG_BUILD_ROCM=1 GG_BUILD_AMDGPU_TARGETS=gfx1151 bash ./ci/run.sh ~/results/llama.cpp ~/mnt/llama.cpp
# TODO: provision AMD GPU machine
# amd-rocm:
# runs-on: [self-hosted, Linux, AMD]
# steps:
# - name: Clone
# id: checkout
# uses: actions/checkout@v6
# - name: Test
# id: ggml-ci
# run: |
# amd-smi static
# GG_BUILD_ROCM=1 GG_BUILD_AMDGPU_TARGETS="gfx1101" bash ./ci/run.sh ~/results/llama.cpp ~/mnt/llama.cpp
+89
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@@ -0,0 +1,89 @@
name: CI (self-hosted KleidiAI backend)
on:
workflow_dispatch: # allows manual triggering
push:
branches:
- master
paths: [
'.github/workflows/ci-self-hosted-kleidiai.yml',
'ci/run.sh',
'**/CMakeLists.txt',
'**/.cmake',
'**/*.h',
'**/*.hpp',
'**/*.c',
'**/*.cpp'
]
pull_request:
types: [opened, synchronize, reopened]
paths: [
'.github/workflows/ci-self-hosted-kleidiai.yml',
'ci/run.sh',
'**/CMakeLists.txt',
'**/.cmake',
'ggml/src/*',
'ggml/src/ggml-cpu/**'
]
cache-mode: none
permissions:
contents: read
concurrency:
group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
cancel-in-progress: true
env:
# note: this is dud token to avoid rate limiting (https://github.com/ggml-org/llama.cpp/pull/25706#issuecomment-4979941302)
HF_TOKEN: ${{ secrets.HF_TOKEN_CI }}
GGML_NLOOP: 3
GGML_N_THREADS: 1
LLAMA_ARG_LOG_COLORS: 1
LLAMA_ARG_LOG_PREFIX: 1
LLAMA_ARG_LOG_TIMESTAMPS: 1
jobs:
cpu-arm64-graviton4-kleidiai:
runs-on: ah-ubuntu_24_04-c8g_8x
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: Dependencies
id: depends
run: |
set -euxo pipefail
sudo apt-get update
sudo DEBIAN_FRONTEND=noninteractive NEEDRESTART_MODE=a \
apt-get install -y \
build-essential \
python3-venv \
gpg \
wget \
time \
git-lfs
git lfs install
# install the latest cmake
sudo install -d /usr/share/keyrings
wget -O - https://apt.kitware.com/keys/kitware-archive-latest.asc \
| gpg --dearmor \
| sudo tee /usr/share/keyrings/kitware-archive-keyring.gpg >/dev/null
echo 'deb [signed-by=/usr/share/keyrings/kitware-archive-keyring.gpg] https://apt.kitware.com/ubuntu/ jammy main' \
| sudo tee /etc/apt/sources.list.d/kitware.list
sudo apt-get update
sudo apt-get install -y cmake
- name: Test
id: ggml-ci
run: |
LLAMA_ARG_THREADS=$(nproc) \
GG_BUILD_KLEIDIAI=1 \
GG_BUILD_EXTRA_TESTS_0=1 \
GG_BUILD_HIGH_PERF=1 \
bash ./ci/run.sh ~/results/llama.cpp ~/mnt/llama.cpp
+63
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@@ -0,0 +1,63 @@
name: CI (self-hosted Metal backend)
on:
workflow_dispatch: # allows manual triggering
push:
branches:
- master
paths: [
'.github/workflows/ci-self-hosted-metal.yml',
'ci/run.sh',
'**/CMakeLists.txt',
'**/.cmake',
'**/*.h',
'**/*.hpp',
'**/*.c',
'**/*.cpp',
'**/*.swift',
'**/*.m',
'**/*.metal'
]
pull_request:
types: [opened, synchronize, reopened]
paths: [
'.github/workflows/ci-self-hosted-metal.yml',
'ci/run.sh',
'**/CMakeLists.txt',
'**/.cmake',
'ggml/src/*',
'ggml/src/ggml-cpu/**',
'ggml/src/ggml-metal/**'
]
cache-mode: none
permissions:
contents: read
concurrency:
group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
cancel-in-progress: true
env:
# note: this is dud token to avoid rate limiting (https://github.com/ggml-org/llama.cpp/pull/25706#issuecomment-4979941302)
HF_TOKEN: ${{ secrets.HF_TOKEN_CI }}
GGML_NLOOP: 3
GGML_N_THREADS: 1
LLAMA_ARG_LOG_COLORS: 1
LLAMA_ARG_LOG_PREFIX: 1
LLAMA_ARG_LOG_TIMESTAMPS: 1
jobs:
gpu-metal:
runs-on: [self-hosted, macOS, ARM64]
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: Test
id: ggml-ci
run: |
GG_BUILD_METAL=1 bash ./ci/run.sh ~/results/llama.cpp/$RUNNER_NAME ~/mnt/llama.cpp
+79
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name: CI (self-hosted OpenVINO backend)
on:
workflow_dispatch: # allows manual triggering
push:
branches:
- master
paths: [
'.github/workflows/ci-self-hosted-openvino.yml',
'ci/run.sh',
'**/CMakeLists.txt',
'**/.cmake',
'**/*.h',
'**/*.hpp',
'**/*.c',
'**/*.cpp'
]
pull_request:
types: [opened, synchronize, reopened]
paths: [
'.github/workflows/ci-self-hosted-openvino.yml',
'ci/run.sh',
'**/CMakeLists.txt',
'**/.cmake',
'ggml/src/*',
'ggml/src/ggml-cpu/**',
'ggml/src/ggml-openvino/**'
]
cache-mode: none
permissions:
contents: read
concurrency:
group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
cancel-in-progress: true
env:
# note: this is dud token to avoid rate limiting (https://github.com/ggml-org/llama.cpp/pull/25706#issuecomment-4979941302)
HF_TOKEN: ${{ secrets.HF_TOKEN_CI }}
GGML_NLOOP: 3
GGML_N_THREADS: 1
LLAMA_ARG_LOG_COLORS: 1
LLAMA_ARG_LOG_PREFIX: 1
LLAMA_ARG_LOG_TIMESTAMPS: 1
jobs:
gpu-openvino-low-perf:
runs-on: [self-hosted, Linux, Intel, OpenVINO]
env:
# Sync versions in build-openvino.yml, ci-self-hosted-openvino.yml, release.yml, release-publish.yml, build-cache.yml, .devops/openvino.Dockerfile, docs/backend/OPENVINO.md
OPENVINO_VERSION_MAJOR: "2026.4.1"
OPENVINO_VERSION_FULL: "2026.4.1.22982.07f9c262b05"
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: Setup OpenVINO Toolkit
uses: ./.github/actions/linux-setup-openvino
with:
path: ./openvino_toolkit
version_major: ${{ env.OPENVINO_VERSION_MAJOR }}
version_full: ${{ env.OPENVINO_VERSION_FULL }}
- name: Install OpenVINO dependencies
run: |
cd ./openvino_toolkit
chmod +x ./install_dependencies/install_openvino_dependencies.sh
echo "Y" | sudo -E ./install_dependencies/install_openvino_dependencies.sh
- name: Test
id: ggml-ci
run: |
source ./openvino_toolkit/setupvars.sh
GG_BUILD_OPENVINO=1 GGML_OPENVINO_DEVICE=GPU GG_BUILD_LOW_PERF=1 bash ./ci/run.sh ~/results/llama.cpp ~/mnt/llama.cpp
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name: CI (self-hosted Vulkan backend)
on:
workflow_dispatch: # allows manual triggering
push:
branches:
- master
paths: [
'.github/workflows/ci-self-hosted-vulkan.yml',
'ci/run.sh',
'**/CMakeLists.txt',
'**/.cmake',
'**/*.h',
'**/*.hpp',
'**/*.c',
'**/*.cpp',
'**/*.comp',
'**/*.glsl'
]
pull_request:
types: [opened, synchronize, reopened]
paths: [
'.github/workflows/ci-self-hosted-vulkan.yml',
'ci/run.sh',
'**/CMakeLists.txt',
'**/.cmake',
'ggml/src/*',
'ggml/src/ggml-cpu/**',
'ggml/src/ggml-vulkan/**'
]
cache-mode: none
permissions:
contents: read
concurrency:
group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
cancel-in-progress: true
env:
# note: this is dud token to avoid rate limiting (https://github.com/ggml-org/llama.cpp/pull/25706#issuecomment-4979941302)
HF_TOKEN: ${{ secrets.HF_TOKEN_CI }}
GGML_NLOOP: 3
GGML_N_THREADS: 1
LLAMA_ARG_LOG_COLORS: 1
LLAMA_ARG_LOG_PREFIX: 1
LLAMA_ARG_LOG_TIMESTAMPS: 1
jobs:
gpu-vulkan-nvidia-cm:
# runs-on: "hf-jobs-t4-small:ubuntu26_04"
runs-on: [self-hosted, Linux, NVIDIA]
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
# - name: Install dependencies
# run: |
# sudo apt update
# sudo apt install -y build-essential cmake libxcb-xinput0 libxcb-xinerama0 libxcb-cursor-dev libvulkan-dev glslc spirv-headers vulkan-tools mesa-vulkan-drivers libglvnd0 libgl1 libglx0 libegl1 libgles2 libssl-dev time unzip wget python3 python3-venv python3-pip
# - name: ccache
# uses: ggml-org/ccache-action@v1.2.24
# with:
# restore: false
# save: false
# - name: ccache-buckets-restore
# uses: ./.github/actions/ccache-buckets
# with:
# key: self-hosted-vulkan-nvidia-cm
# folder: llama.cpp
# hf_bucket: ggml-org/cache
- name: Test
id: ggml-ci
run: |
vulkaninfo --summary
GG_BUILD_VULKAN=1 GGML_VK_DISABLE_COOPMAT2=1 bash ./ci/run.sh ~/results/llama.cpp/$RUNNER_NAME ~/mnt/llama.cpp
# - name: ccache-buckets-save
# if: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
# uses: ./.github/actions/ccache-buckets
# env:
# HF_TOKEN: ${{ secrets.HF_TOKEN_CACHE_OUTPUT }}
# with:
# key: self-hosted-vulkan-nvidia-cm
# folder: llama.cpp
# evict-old-files: 1d
# hf_bucket: ggml-org/cache
# save: true
gpu-vulkan-nvidia-cm2:
# runs-on: "hf-jobs-t4-small:ubuntu26_04"
runs-on: [self-hosted, Linux, NVIDIA, COOPMAT2]
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
# - name: Install dependencies
# run: |
# sudo apt update
# sudo apt install -y build-essential cmake libxcb-xinput0 libxcb-xinerama0 libxcb-cursor-dev libvulkan-dev glslc spirv-headers vulkan-tools mesa-vulkan-drivers libglvnd0 libgl1 libglx0 libegl1 libgles2 libssl-dev time unzip wget python3 python3-venv python3-pip
# - name: ccache
# uses: ggml-org/ccache-action@v1.2.24
# with:
# restore: false
# save: false
# - name: ccache-buckets-restore
# uses: ./.github/actions/ccache-buckets
# with:
# key: self-hosted-vulkan-nvidia-cm2
# folder: llama.cpp
# hf_bucket: ggml-org/cache
- name: Test
id: ggml-ci
run: |
vulkaninfo --summary
GG_BUILD_VULKAN=1 bash ./ci/run.sh ~/results/llama.cpp/$RUNNER_NAME ~/mnt/llama.cpp
# - name: ccache-buckets-save
# if: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
# uses: ./.github/actions/ccache-buckets
# env:
# HF_TOKEN: ${{ secrets.HF_TOKEN_CACHE_OUTPUT }}
# with:
# key: self-hosted-vulkan-nvidia-cm2
# folder: llama.cpp
# evict-old-files: 1d
# hf_bucket: ggml-org/cache
# save: true
gpu-vulkan-apple:
runs-on: [self-hosted, macOS, ARM64]
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: Test
id: ggml-ci
run: |
vulkaninfo --summary
GG_BUILD_VULKAN=1 bash ./ci/run.sh ~/results/llama.cpp/$RUNNER_NAME ~/mnt/llama.cpp
gpu-vulkan-intel-linux:
runs-on: [self-hosted, Linux, Intel]
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
with:
persist-credentials: false
- name: Test
id: ggml-ci
run: |
vulkaninfo --summary
GG_BUILD_VULKAN=1 bash ./ci/run.sh ~/results/llama.cpp ~/mnt/llama.cpp
gpu-vulkan-intel-windows:
runs-on: [self-hosted, Windows, X64, Intel]
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: Test
id: ggml-ci
shell: C:\msys64\usr\bin\bash.exe --noprofile --norc -eo pipefail "{0}"
env:
MSYSTEM: UCRT64
CHERE_INVOKING: 1
PATH: C:\msys64\ucrt64\bin;C:\msys64\usr\bin;C:\Windows\System32;${{ env.PATH }}
run: |
vulkaninfo --summary
# Skip python related tests with GG_BUILD_LOW_PERF=1 since Windows MSYS2 UCRT64 currently fails to create
# a valid python environment for testing
LLAMA_FATAL_WARNINGS=OFF GG_BUILD_NINJA=1 GG_BUILD_VULKAN=1 GG_BUILD_LOW_PERF=1 ./ci/run.sh ./results/llama.cpp ./mnt/llama.cpp
# TODO: provision AMD GPU machine
# amd-vulkan:
# runs-on: [self-hosted, Linux, AMD]
# steps:
# - name: Clone
# id: checkout
# uses: actions/checkout@v6
# - name: Test
# id: ggml-ci
# run: |
# vulkaninfo --summary
# GG_BUILD_VULKAN=1 bash ./ci/run.sh ~/results/llama.cpp ~/mnt/llama.cpp
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name: CI (self-hosted WebGPU backend)
on:
workflow_dispatch: # allows manual triggering
push:
branches:
- master
paths: [
'.github/workflows/ci-self-hosted-webgpu.yml',
'ci/run.sh',
'**/CMakeLists.txt',
'**/.cmake',
'**/*.h',
'**/*.hpp',
'**/*.c',
'**/*.cpp',
'**/*.wgsl'
]
pull_request:
types: [opened, synchronize, reopened]
paths: [
'.github/workflows/ci-self-hosted-webgpu.yml',
'ci/run.sh',
'**/CMakeLists.txt',
'**/.cmake',
'ggml/src/*',
'ggml/src/ggml-cpu/**',
'ggml/src/ggml-webgpu/**'
]
cache-mode: none
permissions:
contents: read
concurrency:
group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
cancel-in-progress: true
env:
# note: this is dud token to avoid rate limiting (https://github.com/ggml-org/llama.cpp/pull/25706#issuecomment-4979941302)
HF_TOKEN: ${{ secrets.HF_TOKEN_CI }}
GGML_NLOOP: 3
GGML_N_THREADS: 1
LLAMA_ARG_LOG_COLORS: 1
LLAMA_ARG_LOG_PREFIX: 1
LLAMA_ARG_LOG_TIMESTAMPS: 1
jobs:
gpu-webgpu-nvidia:
runs-on: "hf-jobs-t4-small:ubuntu26_04"
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: Install dependencies
run: |
sudo apt update
sudo apt install -y build-essential cmake libxcb-xinput0 libxcb-xinerama0 libxcb-cursor-dev libvulkan1 mesa-vulkan-drivers libglvnd0 libgl1 libglx0 libegl1 libgles2 libssl-dev time unzip wget python3 python3-venv python3-pip
- name: ccache
uses: ggml-org/ccache-action@v1.2.24
with:
restore: false
save: false
- name: ccache-buckets-restore
uses: ./.github/actions/ccache-buckets
with:
key: self-hosted-webgpu-nvidia
folder: llama.cpp
hf_bucket: ggml-org/cache
- name: Dawn Dependency
id: dawn-depends
run: |
DAWN_VERSION="v20260908.214631"
DAWN_OWNER="google"
DAWN_REPO="dawn"
DAWN_ASSET_NAME="Dawn-94c3c9cc0d5fb2e85aebb370fa8d37b71aa34655-ubuntu-latest-Release"
echo "Fetching release asset from https://github.com/google/dawn/releases/download/${DAWN_VERSION}/${DAWN_ASSET_NAME}.tar.gz"
curl -L -o artifact.tar.gz \
"https://github.com/google/dawn/releases/download/${DAWN_VERSION}/${DAWN_ASSET_NAME}.tar.gz"
mkdir dawn
tar -xvf artifact.tar.gz -C dawn --strip-components=1
- name: Test
id: ggml-ci
run: |
GG_BUILD_WEBGPU=1 \
GG_BUILD_WEBGPU_DAWN_PREFIX="$GITHUB_WORKSPACE/dawn" \
GG_BUILD_WEBGPU_DAWN_DIR="$GITHUB_WORKSPACE/dawn/lib64/cmake/Dawn" \
bash ./ci/run.sh ~/results/llama.cpp ~/mnt/llama.cpp
- name: ccache-buckets-save
if: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
uses: ./.github/actions/ccache-buckets
env:
HF_TOKEN: ${{ secrets.HF_TOKEN_CACHE_OUTPUT }}
with:
key: self-hosted-webgpu-nvidia
folder: llama.cpp
evict-old-files: 1d
hf_bucket: ggml-org/cache
save: true
gpu-webgpu-apple:
runs-on: [self-hosted, macOS, ARM64]
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: Dawn Dependency
id: dawn-depends
run: |
DAWN_VERSION="v20260908.214631"
DAWN_OWNER="google"
DAWN_REPO="dawn"
DAWN_ASSET_NAME="Dawn-94c3c9cc0d5fb2e85aebb370fa8d37b71aa34655-macos-latest-Release"
echo "Fetching release asset from https://github.com/google/dawn/releases/download/${DAWN_VERSION}/${DAWN_ASSET_NAME}.tar.gz"
curl -L -o artifact.tar.gz \
"https://github.com/google/dawn/releases/download/${DAWN_VERSION}/${DAWN_ASSET_NAME}.tar.gz"
mkdir dawn
tar -xvf artifact.tar.gz -C dawn --strip-components=1
- name: Test
id: ggml-ci
run: |
GG_BUILD_WEBGPU=1 GG_BUILD_WEBGPU_DAWN_PREFIX="$GITHUB_WORKSPACE/dawn" \
bash ./ci/run.sh ~/results/llama.cpp/$RUNNER_NAME ~/mnt/llama.cpp
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name: Close inactive issues
on:
schedule:
- cron: "42 0 * * *"
cache-mode: none
permissions:
contents: read
jobs:
close-issues:
runs-on: ubuntu-slim
permissions:
issues: write
pull-requests: write
steps:
- uses: actions/stale@v10
with:
exempt-issue-labels: "refactoring,help wanted,good first issue,research 🔬,bug,roadmap,security"
days-before-issue-stale: 30
days-before-issue-close: 14
stale-issue-label: "stale"
close-issue-message: "This issue was closed because it has been inactive for 14 days since being marked as stale."
days-before-pr-stale: -1
days-before-pr-close: -1
operations-per-run: 10000
repo-token: ${{ secrets.GITHUB_TOKEN }}
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name: Code Style Checker
on:
workflow_dispatch: # allows manual triggering
push:
branches:
- master
pull_request:
branches:
- master
cache-mode: none
permissions:
contents: read
concurrency:
group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
cancel-in-progress: true
jobs:
model-naming:
runs-on: ubuntu-slim
steps:
- uses: actions/checkout@v6
- name: Check model naming conventions
run: |
python3 - << 'EOF'
import re, os, sys
pairs = re.findall(
r'case\s+(LLM_ARCH_\w+)\s*:\s*\n\s+return new (llama_model_\w+)\s*\(',
open("src/llama-model.cpp").read())
errors = []
for arch, cls in pairs:
suffix = arch[len("LLM_ARCH_"):]
csuffix = cls[len("llama_model_"):]
fname = csuffix.replace("_", "-") + ".cpp"
if not re.fullmatch(r'[A-Z][A-Z0-9_]*', suffix):
errors.append(f"{arch}: suffix not upper snake case, example: LLM_ARCH_MY_MODEL")
if not re.fullmatch(r'[a-z][a-z0-9_]*', csuffix):
errors.append(f"{arch}: class suffix not lower snake case, example: llama_model_my_model")
elif suffix.lower() != csuffix:
errors.append(f"{arch}: arch/class name mismatch, expected class 'llama_model_{suffix.lower()}' but got '{cls}'")
elif not os.path.isfile(f"src/models/{fname}"):
errors.append(f"{arch}: expects model file name to be src/models/{fname}, but not found")
if errors:
print('\n'.join(f" - {e}" for e in errors)); sys.exit(1)
print(f"OK: {len(pairs)} mappings validated.")
EOF
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name: "Copilot Setup Steps"
# Automatically run the setup steps when they are changed to allow for easy validation, and
# allow manual testing through the repository's "Actions" tab
on:
workflow_dispatch:
push:
paths:
- .github/workflows/copilot-setup-steps.yml
pull_request:
paths:
- .github/workflows/copilot-setup-steps.yml
cache-mode: none
jobs:
# The job MUST be called `copilot-setup-steps` or it will not be picked up by Copilot.
copilot-setup-steps:
runs-on: ubuntu-24.04
# Set the permissions to the lowest permissions possible needed for your steps.
# Copilot will be given its own token for its operations.
permissions:
# If you want to clone the repository as part of your setup steps, for example to install dependencies, you'll need the `contents: read` permission. If you don't clone the repository in your setup steps, Copilot will do this for you automatically after the steps complete.
contents: read
# You can define any steps you want, and they will run before the agent starts.
# If you do not check out your code, Copilot will do this for you.
steps:
- name: Checkout code
uses: actions/checkout@v6
- name: ccache
uses: ggml-org/ccache-action@v1.2.24
with:
restore: false
save: false
- name: Dependencies
id: depends
run: |
sudo apt-get update
sudo apt-get install build-essential libssl-dev
# Install git-clang-format script for formatting only changed code
wget -O /tmp/git-clang-format https://raw.githubusercontent.com/llvm/llvm-project/release/18.x/clang/tools/clang-format/git-clang-format
sudo cp /tmp/git-clang-format /usr/local/bin/git-clang-format
sudo chmod +x /usr/local/bin/git-clang-format
- name: Set up Python
uses: actions/setup-python@v6
with:
python-version: '3.11'
- name: Install Python dependencies
run: |
python3 -m venv .venv
source .venv/bin/activate
pip install -r requirements/requirements-all.txt -r tools/server/tests/requirements.txt
+575
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@@ -0,0 +1,575 @@
# This workflow uses actions that are not certified by GitHub.
# They are provided by a third-party and are governed by
# separate terms of service, privacy policy, and support
# documentation.
# GitHub recommends pinning actions to a commit SHA.
# To get a newer version, you will need to update the SHA.
# You can also reference a tag or branch, but the action may change without warning.
name: Publish Docker image
on:
workflow_dispatch: # allows manual triggering
inputs:
skip_s390x:
description: "Skip the s390x build target (useful for fast test runs that do not need the IBM Z runner)"
type: boolean
default: false
schedule:
# Rebuild daily rather than on every push because it is expensive
- cron: '12 4 * * *'
cache-mode: none
permissions:
contents: read
concurrency:
group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
cancel-in-progress: true
jobs:
create_tag:
name: Create and push git tag
runs-on: ubuntu-slim
permissions:
contents: write
outputs:
source_tag: ${{ steps.srctag.outputs.name }}
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
with:
fetch-depth: 0
ssh-key: ${{ secrets.DEPLOY_KEY_RELEASE }}
- name: Determine source tag name
id: srctag
uses: ./.github/actions/get-tag-name
env:
BRANCH_NAME: ${{ github.head_ref || github.ref_name }}
- name: Create and push git tag
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
run: |
git tag ${{ steps.srctag.outputs.name }} || exit 0
git push origin ${{ steps.srctag.outputs.name }} || exit 0
build_ui:
name: Build UI
needs: create_tag
permissions:
actions: write
contents: read
uses: ./.github/workflows/ui-build.yml
with:
ui_version: ${{ needs.create_tag.outputs.source_tag }}
prepare_matrices:
name: Prepare Docker matrices
runs-on: ubuntu-24.04
outputs:
build_matrix: ${{ steps.matrices.outputs.build_matrix }}
merge_matrix: ${{ steps.matrices.outputs.merge_matrix }}
steps:
- name: Generate build and merge matrices
id: matrices
shell: bash
env:
SKIP_S390X: ${{ inputs.skip_s390x || 'false' }}
run: |
set -euo pipefail
# Keep all build targets in one place and derive merge targets from it.
cat > build-matrix.json <<'JSON'
[
{ "tag": "cpu", "dockerfile": ".devops/cpu.Dockerfile", "platforms": "linux/amd64", "full": true, "light": true, "server": true, "free_disk_space": false, "runs_on": "ubuntu-24.04" },
{ "tag": "cpu", "dockerfile": ".devops/cpu.Dockerfile", "platforms": "linux/arm64", "full": true, "light": true, "server": true, "free_disk_space": false, "runs_on": "ubuntu-24.04-arm" },
{ "tag": "cpu", "dockerfile": ".devops/s390x.Dockerfile", "platforms": "linux/s390x", "full": true, "light": true, "server": true, "free_disk_space": false, "runs_on": "ubuntu-24.04-s390x", "prebuilt_ui": true },
{ "tag": "cuda cuda12", "dockerfile": ".devops/cuda.Dockerfile", "cuda_version": "12.8.1", "platforms": "linux/amd64", "full": true, "light": true, "server": true, "free_disk_space": true, "runs_on": "ubuntu-24.04" },
{ "tag": "cuda cuda12", "dockerfile": ".devops/cuda.Dockerfile", "cuda_version": "12.8.1", "platforms": "linux/arm64", "full": true, "light": true, "server": true, "free_disk_space": true, "runs_on": "ubuntu-24.04-arm" },
{ "tag": "cuda13", "dockerfile": ".devops/cuda.Dockerfile", "cuda_version": "13.4.1", "platforms": "linux/amd64", "full": true, "light": true, "server": true, "free_disk_space": true, "runs_on": "ubuntu-24.04" },
{ "tag": "cuda13", "dockerfile": ".devops/cuda.Dockerfile", "cuda_version": "13.4.1", "platforms": "linux/arm64", "full": true, "light": true, "server": true, "free_disk_space": true, "runs_on": "ubuntu-24.04-arm" },
{ "tag": "musa", "dockerfile": ".devops/musa.Dockerfile", "platforms": "linux/amd64", "full": true, "light": true, "server": true, "free_disk_space": true, "runs_on": "ubuntu-24.04" },
{ "tag": "intel", "dockerfile": ".devops/intel.Dockerfile", "platforms": "linux/amd64", "full": true, "light": true, "server": true, "free_disk_space": true, "runs_on": "ubuntu-24.04" },
{ "tag": "vulkan", "dockerfile": ".devops/vulkan.Dockerfile", "platforms": "linux/amd64", "full": true, "light": true, "server": true, "free_disk_space": false, "runs_on": "ubuntu-24.04" },
{ "tag": "vulkan", "dockerfile": ".devops/vulkan.Dockerfile", "platforms": "linux/arm64", "full": true, "light": true, "server": true, "free_disk_space": false, "runs_on": "ubuntu-24.04-arm" },
{ "tag": "rocm", "dockerfile": ".devops/rocm.Dockerfile", "platforms": "linux/amd64", "full": true, "light": true, "server": true, "free_disk_space": true, "runs_on": "ubuntu-24.04" },
{ "tag": "openvino", "dockerfile": ".devops/openvino.Dockerfile", "platforms": "linux/amd64", "full": true, "light": true, "server": true, "free_disk_space": false, "runs_on": "ubuntu-24.04" }
]
JSON
if [ "${SKIP_S390X}" = "true" ]; then
jq 'map(select(.platforms != "linux/s390x"))' build-matrix.json > build-matrix.json.tmp
mv build-matrix.json.tmp build-matrix.json
fi
BUILD_MATRIX="$(jq -c . build-matrix.json)"
MERGE_MATRIX="$(jq -c '
reduce .[] as $entry ({}; .[$entry.tag] |= (
. // {
tag: $entry.tag,
arches: [],
full: false,
light: false,
server: false
}
| .full = (.full or ($entry.full // false))
| .light = (.light or ($entry.light // false))
| .server = (.server or ($entry.server // false))
| .arches += [($entry.platforms | sub("^linux/"; ""))]
))
# Backward compatibility: s390x tags are aliases of cpu for the linux/s390x platform.
| if (has("cpu") and (((.cpu.arches // []) | index("s390x")) != null)) then
. + {
s390x: {
tag: "s390x",
arches: ["s390x"],
full: .cpu.full,
light: .cpu.light,
server: .cpu.server
}
}
else
.
end
| [.[] | .arches = (.arches | unique | sort | join(" "))]
' build-matrix.json)"
echo "build_matrix=$BUILD_MATRIX" >> "$GITHUB_OUTPUT"
echo "merge_matrix=$MERGE_MATRIX" >> "$GITHUB_OUTPUT"
push_to_registry:
name: Push Docker image to Docker Registry
needs: [prepare_matrices, create_tag, build_ui]
runs-on: ${{ matrix.config.runs_on }}
# cache-mode: write # for QEMU
permissions:
actions: write
contents: read
packages: write
strategy:
fail-fast: false
matrix:
config: ${{ fromJSON(needs.prepare_matrices.outputs.build_matrix) }}
steps:
- name: Check out the repo
id: checkout
uses: actions/checkout@v6
with:
fetch-depth: 0
ref: ${{ needs.create_tag.outputs.source_tag }}
- name: Download prebuilt UI
if: ${{ matrix.config.prebuilt_ui == true }}
uses: actions/download-artifact@3e5f45b2cfb9172054b4087a40e8e0b5a5461e7c # v8
with:
name: llama-ui.zip
path: tools/ui/dist
# - name: Set up QEMU
# if: ${{ contains(matrix.config.platforms, 'linux/amd64') }}
# uses: docker/setup-qemu-action@ce360397dd3f832beb865e1373c09c0e9f86d70a # v4
# with:
# image: tonistiigi/binfmt:qemu-v10.2.1
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@4d04d5d9486b7bd6fa91e7baf45bbb4f8b9deedd # v4
- name: Log in to Docker Registry
uses: docker/login-action@b45d80f862d83dbcd57f89517bcf500b2ab88fb2 # v4
with:
registry: ghcr.io
username: ${{ github.repository_owner }}
password: ${{ secrets.GITHUB_TOKEN }}
- name: Determine image metadata
id: meta
shell: bash
run: |
set -euo pipefail
REPO_OWNER="${GITHUB_REPOSITORY_OWNER@L}" # to lower case
REPO_NAME="${{ github.event.repository.name }}"
IMAGE_REPO="ghcr.io/${REPO_OWNER}/${REPO_NAME}"
PREFIX="${IMAGE_REPO}:"
PLATFORM="${{ matrix.config.platforms }}"
ARCH_SUFFIX="${PLATFORM#linux/}"
# list all tags possible
tags="${{ matrix.config.tag }}"
for tag in $tags; do
if [[ "$tag" == "cpu" ]]; then
TYPE=""
else
TYPE="-$tag"
fi
CACHETAG="${PREFIX}buildcache${TYPE}-${ARCH_SUFFIX}"
done
SAFE_TAGS="$(echo "$tags" | tr ' ' '_')"
echo "image_repo=$IMAGE_REPO" >> $GITHUB_OUTPUT
echo "arch_suffix=$ARCH_SUFFIX" >> $GITHUB_OUTPUT
echo "cache_output_tag=$CACHETAG" >> $GITHUB_OUTPUT
echo "digest_artifact_suffix=${SAFE_TAGS}-${ARCH_SUFFIX}" >> $GITHUB_OUTPUT
echo "cache_output_tag=$CACHETAG" # print out for debugging
env:
GITHUB_REPOSITORY_OWNER: '${{ github.repository_owner }}'
- name: Get build date
id: build_date
run: echo "date=$(date -u +"%Y-%m-%dT%H:%M:%SZ")" >> $GITHUB_OUTPUT
- name: Free Disk Space (Ubuntu)
if: ${{ matrix.config.free_disk_space == true }}
uses: ggml-org/free-disk-space@v1.3.1
with:
# this might remove tools that are actually needed,
# if set to "true" but frees about 6 GB
tool-cache: false
# all of these default to true, but feel free to set to
# "false" if necessary for your workflow
android: true
dotnet: true
haskell: true
large-packages: true
docker-images: true
swap-storage: true
- name: Build and push Full Docker image by digest
id: build_full
if: ${{ (github.event_name == 'push' || github.event_name == 'schedule' || github.event_name == 'workflow_dispatch') && matrix.config.full == true }}
uses: docker/build-push-action@d08e5c354a6adb9ed34480a06d141179aa583294 # v7
with:
context: .
platforms: ${{ matrix.config.platforms }}
outputs: type=image,name=${{ steps.meta.outputs.image_repo }},push-by-digest=true,name-canonical=true,push=true,oci-mediatypes=true
file: ${{ matrix.config.dockerfile }}
target: full
provenance: false
build-args: |
BUILD_DATE=${{ steps.build_date.outputs.date }}
APP_VERSION=${{ needs.create_tag.outputs.source_tag }}
APP_REVISION=${{ steps.checkout.outputs.commit }}
IMAGE_URL=${{ github.server_url }}/${{ github.repository }}
IMAGE_SOURCE=${{ github.server_url }}/${{ github.repository }}
${{ matrix.config.ubuntu_version && format('UBUNTU_VERSION={0}', matrix.config.ubuntu_version) || '' }}
${{ matrix.config.cuda_version && format('CUDA_VERSION={0}', matrix.config.cuda_version) || '' }}
annotations: |
manifest:org.opencontainers.image.created=${{ steps.build_date.outputs.date }}
manifest:org.opencontainers.image.version=${{ needs.create_tag.outputs.source_tag }}
manifest:org.opencontainers.image.revision=${{ steps.checkout.outputs.commit }}
manifest:org.opencontainers.image.title=llama.cpp
manifest:org.opencontainers.image.description=LLM inference in C/C++
manifest:org.opencontainers.image.url=${{ github.server_url }}/${{ github.repository }}
manifest:org.opencontainers.image.source=${{ github.server_url }}/${{ github.repository }}
# using github experimental cache
#cache-from: type=gha
#cache-to: type=gha,mode=max
# return to this if the experimental github cache is having issues
#cache-to: type=local,dest=/tmp/.buildx-cache
#cache-from: type=local,src=/tmp/.buildx-cache
# using registry cache (no storage limit)
cache-from: type=registry,ref=${{ steps.meta.outputs.cache_output_tag }}
cache-to: type=registry,ref=${{ steps.meta.outputs.cache_output_tag }},mode=max
- name: Build and push Light Docker image by digest
id: build_light
if: ${{ (github.event_name == 'push' || github.event_name == 'schedule' || github.event_name == 'workflow_dispatch') && matrix.config.light == true }}
uses: docker/build-push-action@d08e5c354a6adb9ed34480a06d141179aa583294 # v7
with:
context: .
platforms: ${{ matrix.config.platforms }}
outputs: type=image,name=${{ steps.meta.outputs.image_repo }},push-by-digest=true,name-canonical=true,push=true,oci-mediatypes=true
file: ${{ matrix.config.dockerfile }}
target: light
provenance: false
build-args: |
BUILD_DATE=${{ steps.build_date.outputs.date }}
APP_VERSION=${{ needs.create_tag.outputs.source_tag }}
APP_REVISION=${{ steps.checkout.outputs.commit }}
IMAGE_URL=${{ github.server_url }}/${{ github.repository }}
IMAGE_SOURCE=${{ github.server_url }}/${{ github.repository }}
${{ matrix.config.ubuntu_version && format('UBUNTU_VERSION={0}', matrix.config.ubuntu_version) || '' }}
${{ matrix.config.cuda_version && format('CUDA_VERSION={0}', matrix.config.cuda_version) || '' }}
annotations: |
manifest:org.opencontainers.image.created=${{ steps.build_date.outputs.date }}
manifest:org.opencontainers.image.version=${{ needs.create_tag.outputs.source_tag }}
manifest:org.opencontainers.image.revision=${{ steps.checkout.outputs.commit }}
manifest:org.opencontainers.image.title=llama.cpp
manifest:org.opencontainers.image.description=LLM inference in C/C++
manifest:org.opencontainers.image.url=${{ github.server_url }}/${{ github.repository }}
manifest:org.opencontainers.image.source=${{ github.server_url }}/${{ github.repository }}
# using github experimental cache
#cache-from: type=gha
#cache-to: type=gha,mode=max
# return to this if the experimental github cache is having issues
#cache-to: type=local,dest=/tmp/.buildx-cache
#cache-from: type=local,src=/tmp/.buildx-cache
# using registry cache (no storage limit)
cache-from: type=registry,ref=${{ steps.meta.outputs.cache_output_tag }}
cache-to: type=registry,ref=${{ steps.meta.outputs.cache_output_tag }},mode=max
- name: Build and push Server Docker image by digest
id: build_server
if: ${{ (github.event_name == 'push' || github.event_name == 'schedule' || github.event_name == 'workflow_dispatch') && matrix.config.server == true }}
uses: docker/build-push-action@d08e5c354a6adb9ed34480a06d141179aa583294 # v7
with:
context: .
platforms: ${{ matrix.config.platforms }}
outputs: type=image,name=${{ steps.meta.outputs.image_repo }},push-by-digest=true,name-canonical=true,push=true,oci-mediatypes=true
file: ${{ matrix.config.dockerfile }}
target: server
provenance: false
build-args: |
BUILD_DATE=${{ steps.build_date.outputs.date }}
APP_VERSION=${{ needs.create_tag.outputs.source_tag }}
APP_REVISION=${{ steps.checkout.outputs.commit }}
IMAGE_URL=${{ github.server_url }}/${{ github.repository }}
IMAGE_SOURCE=${{ github.server_url }}/${{ github.repository }}
${{ matrix.config.ubuntu_version && format('UBUNTU_VERSION={0}', matrix.config.ubuntu_version) || '' }}
${{ matrix.config.cuda_version && format('CUDA_VERSION={0}', matrix.config.cuda_version) || '' }}
annotations: |
manifest:org.opencontainers.image.created=${{ steps.build_date.outputs.date }}
manifest:org.opencontainers.image.version=${{ needs.create_tag.outputs.source_tag }}
manifest:org.opencontainers.image.revision=${{ steps.checkout.outputs.commit }}
manifest:org.opencontainers.image.title=llama.cpp
manifest:org.opencontainers.image.description=LLM inference in C/C++
manifest:org.opencontainers.image.url=${{ github.server_url }}/${{ github.repository }}
manifest:org.opencontainers.image.source=${{ github.server_url }}/${{ github.repository }}
# using github experimental cache
#cache-from: type=gha
#cache-to: type=gha,mode=max
# return to this if the experimental github cache is having issues
#cache-to: type=local,dest=/tmp/.buildx-cache
#cache-from: type=local,src=/tmp/.buildx-cache
# using registry cache (no storage limit)
cache-from: type=registry,ref=${{ steps.meta.outputs.cache_output_tag }}
cache-to: type=registry,ref=${{ steps.meta.outputs.cache_output_tag }},mode=max
- name: Export digest metadata
shell: bash
run: |
set -euo pipefail
TAGS="${{ matrix.config.tag }}"
ARCH_SUFFIX="${{ steps.meta.outputs.arch_suffix }}"
DIGEST_FILE="/tmp/digests/${{ steps.meta.outputs.digest_artifact_suffix }}.tsv"
mkdir -p /tmp/digests
add_digest_rows() {
local image_type="$1"
local digest="$2"
if [[ -z "$digest" ]]; then
echo "Missing digest for image_type=${image_type}" >&2
exit 1
fi
for tag in $TAGS; do
printf '%s\t%s\t%s\t%s\n' "$tag" "$ARCH_SUFFIX" "$image_type" "$digest" >> "$DIGEST_FILE"
done
}
if [[ "${{ matrix.config.full }}" == "true" ]]; then
add_digest_rows "full" "${{ steps.build_full.outputs.digest }}"
fi
if [[ "${{ matrix.config.light }}" == "true" ]]; then
add_digest_rows "light" "${{ steps.build_light.outputs.digest }}"
fi
if [[ "${{ matrix.config.server }}" == "true" ]]; then
add_digest_rows "server" "${{ steps.build_server.outputs.digest }}"
fi
- name: Upload digest metadata
uses: actions/upload-artifact@bbbca2ddaa5d8feaa63e36b76fdaad77386f024f # v7
with:
name: digests-${{ steps.meta.outputs.digest_artifact_suffix }}
path: /tmp/digests/${{ steps.meta.outputs.digest_artifact_suffix }}.tsv
if-no-files-found: error
merge_arch_tags:
name: Create shared tags from digests
needs: [prepare_matrices, push_to_registry, create_tag]
runs-on: ubuntu-24.04
permissions:
contents: read
packages: write
id-token: write
attestations: write
strategy:
fail-fast: false
matrix:
config: ${{ fromJSON(needs.prepare_matrices.outputs.merge_matrix) }}
steps:
- name: Check out the repo
id: checkout
uses: actions/checkout@v6
with:
fetch-depth: 0
- name: Get build date
id: build_date
run: echo "date=$(date -u +"%Y-%m-%dT%H:%M:%SZ")" >> $GITHUB_OUTPUT
- name: Download digest metadata
uses: actions/download-artifact@3e5f45b2cfb9172054b4087a40e8e0b5a5461e7c # v8
with:
pattern: digests-*
path: /tmp/digests
merge-multiple: true
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@4d04d5d9486b7bd6fa91e7baf45bbb4f8b9deedd # v4
- name: Log in to Docker Registry
uses: docker/login-action@b45d80f862d83dbcd57f89517bcf500b2ab88fb2 # v4
with:
registry: ghcr.io
username: ${{ github.repository_owner }}
password: ${{ secrets.GITHUB_TOKEN }}
- name: Create tags from digests
id: create_tags
shell: bash
run: |
set -euo pipefail
REPO_OWNER="${GITHUB_REPOSITORY_OWNER@L}" # to lower case
REPO_NAME="${{ github.event.repository.name }}"
IMAGE_REPO="ghcr.io/${REPO_OWNER}/${REPO_NAME}"
PREFIX="${IMAGE_REPO}:"
SRC_TAG="${{ needs.create_tag.outputs.source_tag }}"
BUILD_DATE="${{ steps.build_date.outputs.date }}"
COMMIT_SHA="${{ steps.checkout.outputs.commit }}"
echo "image_repo=${IMAGE_REPO}" >> "$GITHUB_OUTPUT"
TAGS="${{ matrix.config.tag }}"
ARCHES="${{ matrix.config.arches }}"
DIGEST_GLOB="/tmp/digests/*.tsv"
if ! ls ${DIGEST_GLOB} >/dev/null 2>&1; then
echo "No digest metadata found in /tmp/digests" >&2
exit 1
fi
if [[ -z "$SRC_TAG" ]]; then
echo "Missing source tag from create_tag" >&2
exit 1
fi
find_digest() {
local tag_name="$1"
local arch="$2"
local image_type="$3"
local digest
digest="$(awk -F '\t' -v t="$tag_name" -v a="$arch" -v i="$image_type" '$1 == t && $2 == a && $3 == i { print $4; exit }' ${DIGEST_GLOB})"
# Backward compatibility: s390x tags are aliases of cpu for the linux/s390x platform.
if [[ -z "$digest" && "$tag_name" == "s390x" && "$arch" == "s390x" ]]; then
digest="$(awk -F '\t' -v t="cpu" -v a="$arch" -v i="$image_type" '$1 == t && $2 == a && $3 == i { print $4; exit }' ${DIGEST_GLOB})"
fi
if [[ -z "$digest" ]]; then
echo "Missing digest for tag=${tag_name} arch=${arch} image_type=${image_type}" >&2
exit 1
fi
echo "$digest"
}
create_manifest_tags() {
local image_type="$1"
local tag_name="$2"
local suffix="$3"
local merged_tag="${PREFIX}${image_type}${suffix}"
local merged_versioned_tag="${merged_tag}-${SRC_TAG}"
local refs=()
for arch in $ARCHES; do
local digest
digest="$(find_digest "$tag_name" "$arch" "$image_type")"
refs+=("${IMAGE_REPO}@${digest}")
done
local annotations=(
--annotation "index:org.opencontainers.image.created=${BUILD_DATE}"
--annotation "index:org.opencontainers.image.version=${SRC_TAG}"
--annotation "index:org.opencontainers.image.revision=${COMMIT_SHA}"
--annotation "index:org.opencontainers.image.title=llama.cpp"
--annotation "index:org.opencontainers.image.description=LLM inference in C/C++"
--annotation "index:org.opencontainers.image.url=${{ github.server_url }}/${{ github.repository }}"
--annotation "index:org.opencontainers.image.source=${{ github.server_url }}/${{ github.repository }}"
)
echo "Creating ${merged_tag} from ${refs[*]}"
docker buildx imagetools create "${annotations[@]}" --tag "${merged_tag}" "${refs[@]}"
echo "Creating ${merged_versioned_tag} from ${refs[*]}"
docker buildx imagetools create "${annotations[@]}" --tag "${merged_versioned_tag}" "${refs[@]}"
if [[ "$tag_name" == "${TAGS%% *}" ]]; then
local digest
digest="$(docker buildx imagetools inspect "${merged_versioned_tag}" --format '{{.Manifest.Digest}}')"
if [[ ! "$digest" =~ ^sha256:[0-9a-f]{64}$ ]]; then
echo "Invalid digest for ${merged_versioned_tag}: ${digest}" >&2
exit 1
fi
echo "${image_type}_digest=${digest}" >> "$GITHUB_OUTPUT"
fi
}
for tag in $TAGS; do
if [[ "$tag" == "cpu" ]]; then
TYPE=""
else
TYPE="-$tag"
fi
if [[ "${{ matrix.config.full }}" == "true" ]]; then
create_manifest_tags "full" "$tag" "$TYPE"
fi
if [[ "${{ matrix.config.light }}" == "true" ]]; then
create_manifest_tags "light" "$tag" "$TYPE"
fi
if [[ "${{ matrix.config.server }}" == "true" ]]; then
create_manifest_tags "server" "$tag" "$TYPE"
fi
done
env:
GITHUB_REPOSITORY_OWNER: '${{ github.repository_owner }}'
- name: Attest full image
if: ${{ matrix.config.full }}
uses: actions/attest@v4
with:
subject-name: ${{ steps.create_tags.outputs.image_repo }}
subject-digest: ${{ steps.create_tags.outputs.full_digest }}
- name: Attest light image
if: ${{ matrix.config.light }}
uses: actions/attest@v4
with:
subject-name: ${{ steps.create_tags.outputs.image_repo }}
subject-digest: ${{ steps.create_tags.outputs.light_digest }}
- name: Attest server image
if: ${{ matrix.config.server }}
uses: actions/attest@v4
with:
subject-name: ${{ steps.create_tags.outputs.image_repo }}
subject-digest: ${{ steps.create_tags.outputs.server_digest }}
+28
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@@ -0,0 +1,28 @@
name: EditorConfig Checker
on:
workflow_dispatch: # allows manual triggering
push:
branches:
- master
pull_request:
branches:
- master
cache-mode: none
permissions:
contents: read
concurrency:
group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
cancel-in-progress: true
jobs:
editorconfig:
runs-on: ubuntu-slim
steps:
- uses: actions/checkout@v6
- uses: editorconfig-checker/action-editorconfig-checker@840e866d93b8e032123c23bac69dece044d4d84c # v2.2.0
with:
version: v3.0.3
- run: editorconfig-checker
+47
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@@ -0,0 +1,47 @@
# This workflow will upload a Python Package using Twine when a GGUF release is created
# For more information see: https://help.github.com/en/actions/language-and-framework-guides/using-python-with-github-actions#publishing-to-package-registries
# See `gguf-py/README.md` for how to make a release.
# This workflow uses actions that are not certified by GitHub.
# They are provided by a third-party and are governed by
# separate terms of service, privacy policy, and support
# documentation.
name: Upload Python Package
on:
workflow_dispatch:
push:
# Pattern matched against refs/tags
tags:
- 'gguf-v*' # Push events to every version tag
cache-mode: none
permissions:
contents: read
jobs:
deploy:
runs-on: ubuntu-24.04 # previously ubuntu-latest
steps:
- uses: actions/checkout@v6
- name: Set up Python
uses: actions/setup-python@v6
with:
python-version: '3.11'
pip-install: poetry==2.4.0
- name: Install dependencies
run: |
cd gguf-py
poetry install
- name: Build package
run: cd gguf-py && poetry build
- name: Publish package
uses: pypa/gh-action-pypi-publish@ed0c53931b1dc9bd32cbe73a98c7f6766f8a527e # release/v1
with:
password: ${{ secrets.PYPI_API_TOKEN }}
packages-dir: gguf-py/dist
+110
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@@ -0,0 +1,110 @@
name: HIP quality check
on:
workflow_dispatch: # allows manual triggering
push:
branches:
- master
paths: [
'.github/workflows/hip-quality-check.yml',
'**/*.cu',
'**/*.cuh',
'ggml/src/ggml-hip/CMakeLists.txt',
'ggml/src/ggml-cuda/vendors/hip.h',
'scripts/hip/gcn-cdna-vgpr-check.py'
]
pull_request:
types: [opened, synchronize, reopened]
paths: [
'.github/workflows/hip-quality-check.yml',
'**/*.cu',
'**/*.cuh',
'ggml/src/ggml-hip/CMakeLists.txt',
'ggml/src/ggml-cuda/vendors/hip.h',
'scripts/hip/gcn-cdna-vgpr-check.py'
]
cache-mode: none
permissions:
contents: read
concurrency:
group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
cancel-in-progress: true
env:
GGML_NLOOP: 3
GGML_N_THREADS: 1
LLAMA_ARG_LOG_COLORS: 1
LLAMA_ARG_LOG_PREFIX: 1
LLAMA_ARG_LOG_TIMESTAMPS: 1
jobs:
ubuntu-22-hip-quality-check:
runs-on: ubuntu-22.04
container: rocm/dev-ubuntu-22.04:7.2.1
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: Dependencies
id: depends
run: |
sudo apt-get update
sudo apt-get install -y build-essential git cmake rocblas-dev hipblas-dev libssl-dev python3 python3-venv python3-pip jq
- name: ccache
uses: ggml-org/ccache-action@v1.2.24
with:
restore: false
save: false
- name: ccache-buckets-restore
uses: ./.github/actions/ccache-buckets
env:
HF_TOKEN: ${{ secrets.HF_TOKEN_CI }}
with:
key: hip-quality-check-ubuntu-22.04
folder: llama.cpp
hf_bucket: ggml-org/cache
- name: Build with Werror
id: cmake_build
run: |
cmake -B build -S . \
-DCMAKE_HIP_COMPILER="$(hipconfig -l)/clang" \
-DGPU_TARGETS=gfx942 \
-DGGML_HIP=ON \
-DGGML_HIP_EXPORT_METRICS=Off \
-DCMAKE_HIP_FLAGS="-Werror -Wno-tautological-compare" \
-DCMAKE_BUILD_TYPE=Release
cd build
make -j $(nproc)
- name: Check for major VGPR spills
id: vgpr_check
run: |
cmake -B build -S . \
-DCMAKE_HIP_COMPILER="$(hipconfig -l)/clang" \
-DGPU_TARGETS=gfx908 \
-DGGML_HIP=ON \
-DGGML_HIP_EXPORT_METRICS=On \
-DCMAKE_HIP_FLAGS="" \
-DCMAKE_BUILD_TYPE=Release
cd build
make -j $(nproc) 2>&1 | tee metrics.log | grep -v 'Rpass-analysis=kernel-resource-usage\|remark:\|^$'
python3 ../scripts/hip/gcn-cdna-vgpr-check.py metrics.log
- name: ccache-buckets-save
if: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
uses: ./.github/actions/ccache-buckets
env:
HF_TOKEN: ${{ secrets.HF_TOKEN_CACHE_OUTPUT }}
with:
key: hip-quality-check-ubuntu-22.04
folder: llama.cpp
evict-old-files: 1d
hf_bucket: ggml-org/cache
save: true
+21
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@@ -0,0 +1,21 @@
name: "Pull Request Labeler"
on:
- pull_request_target
cache-mode: none
permissions:
contents: read
jobs:
labeler:
permissions:
contents: read
pull-requests: write
runs-on: ubuntu-slim
steps:
- uses: actions/checkout@v6
with:
repository: "ggml-org/llama.cpp"
- uses: actions/labeler@v6
with:
configuration-path: '.github/labeler.yml'
+193
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@@ -0,0 +1,193 @@
name: Make Release
on:
workflow_dispatch:
inputs:
commit:
description: 'Commit SHA to release (empty = branch HEAD)'
required: false
default: ''
type: string
dry_run:
description: 'Dry run - validate without creating the tag'
required: true
type: boolean
default: true
skip_apiabi_check:
description: 'Skip API/ABI compatibility check'
required: false
type: boolean
default: false
require_docker:
description: 'Require the Docker workflow to have completed successfully'
required: true
type: boolean
default: true
apiabi_compare_tag:
description: 'Tag to compare against for API/ABI check (default: latest release)'
required: false
type: string
default: ''
env:
GH_TOKEN: ${{ github.token }}
cache-mode: none
permissions:
contents: write
packages: write
jobs:
make-release:
runs-on: ubuntu-24.04 # previously ubuntu-latest
steps:
- name: Checkout
uses: actions/checkout@v6
with:
ssh-key: ${{ secrets.DEPLOY_KEY_RELEASE }}
ref: ${{ inputs.commit != '' && inputs.commit || github.ref_name }}
fetch-depth: 0
- name: Install API/ABI check tools
if: ${{ github.event.inputs.skip_apiabi_check != 'true' }}
run: sudo apt-get install -y abi-compliance-checker abigail-tools
- name: Run release checks
id: checks
run: bash scripts/make-release-checks.sh ${{ github.event.inputs.dry_run == 'true' && '--dry-run' || '' }}
env:
GITHUB_REPOSITORY: ${{ github.repository }}
RELEASE_BRANCH: ${{ github.ref_name }}
SKIP_APIABI_CHECK: ${{ github.event.inputs.skip_apiabi_check }}
APIABI_COMPARE_TAG: ${{ github.event.inputs.apiabi_compare_tag }}
APIABI_REPORT_DIR: ${{ runner.temp }}/apiabi-reports
REQUIRE_DOCKER: ${{ github.event.inputs.require_docker }}
- name: Upload API/ABI reports
if: ${{ always() && github.event.inputs.skip_apiabi_check != 'true' }}
uses: actions/upload-artifact@v7
with:
name: apiabi-reports
path: ${{ runner.temp }}/apiabi-reports
if-no-files-found: ignore
- name: Create release tag
if: ${{ github.event.inputs.dry_run == 'false' }}
run: |
VERSION="${{ steps.checks.outputs.version }}"
git config user.name "github-actions[bot]"
git config user.email "github-actions[bot]@users.noreply.github.com"
git tag -a "${VERSION}" -m "Release ${VERSION}"
git push origin "${VERSION}"
echo "Created and pushed tag ${VERSION}"
- name: Generate release description
id: desc
run: bash scripts/make-release-desc.sh "${{ steps.checks.outputs.version }}"
env:
GITHUB_REPOSITORY: ${{ github.repository }}
- name: Create nightly-tag.txt
id: nightly_tag_file
run: |
NIGHTLY_TAG="${{ steps.desc.outputs.nightly_tag }}"
if [[ -z "${NIGHTLY_TAG}" ]]; then
echo "Warning: no nightly tag found for the release commit - nightly-tag.txt will not be created"
echo "create=false" >> "$GITHUB_OUTPUT"
exit 0
fi
echo "${NIGHTLY_TAG}" > nightly-tag.txt
echo "create=true" >> "$GITHUB_OUTPUT"
echo "nightly-tag.txt:"
cat nightly-tag.txt
- name: Create release
id: create_release
if: ${{ github.event.inputs.dry_run == 'false' }}
uses: ggml-org/action-create-release@v1
env:
GITHUB_TOKEN: ${{ github.token }}
with:
tag_name: ${{ steps.checks.outputs.version }}
prerelease: false
# TODO: enrich the body of the release with more information
body: |
## Overview
New version has been released.
## Assets
${{ steps.desc.outputs.nightly }}
## More info
- [Releases and versioning of `ggml-org` projects](https://github.com/ggml-org/ggml/discussions/1579)
## ${{ steps.desc.outputs.changelog_title }}
${{ steps.desc.outputs.changelog }}
- name: Upload nightly-tag.txt
if: ${{ github.event.inputs.dry_run == 'false' && steps.nightly_tag_file.outputs.create == 'true' }}
uses: actions/github-script@v8
with:
github-token: ${{secrets.GITHUB_TOKEN}}
script: |
const fs = require('fs');
const release_id = '${{ steps.create_release.outputs.id }}';
console.log('uploadReleaseAsset', 'nightly-tag.txt');
await github.rest.repos.uploadReleaseAsset({
owner: context.repo.owner,
repo: context.repo.repo,
release_id: release_id,
name: 'nightly-tag.txt',
data: await fs.readFileSync('./nightly-tag.txt')
});
- name: Re-tag container images with release version
if: ${{ github.event.inputs.dry_run == 'false' && github.event.inputs.require_docker != 'false' && steps.desc.outputs.nightly_tag != '' }}
env:
GITHUB_REPOSITORY_OWNER: ${{ github.repository_owner }}
run: |
VERSION="${{ steps.checks.outputs.version }}"
NIGHTLY_TAG="${{ steps.desc.outputs.nightly_tag }}"
REPO_OWNER="${GITHUB_REPOSITORY_OWNER,,}"
IMAGE_REPO="ghcr.io/${REPO_OWNER}/${{ github.event.repository.name }}"
echo "${{ secrets.GITHUB_TOKEN }}" | docker login ghcr.io -u "${{ github.actor }}" --password-stdin
VARIANTS=("" "-cuda" "-cuda13" "-vulkan" "-rocm" "-intel" "-musa" "-openvino")
TYPES=("full" "light" "server")
# the release is already created at this point, so keep going on a
# missing image and report all of them at the end
MISSING=()
for type in "${TYPES[@]}"; do
for variant in "${VARIANTS[@]}"; do
src="${IMAGE_REPO}:${type}${variant}-${NIGHTLY_TAG}"
dst="${IMAGE_REPO}:${type}${variant}-${VERSION}"
echo "Tagging ${src} -> ${dst}"
if ! docker buildx imagetools create --tag "${dst}" "${src}"; then
MISSING+=("${type}${variant}")
fi
done
done
if [[ ${#MISSING[@]} -gt 0 ]]; then
echo "::error::failed to re-tag container images for ${NIGHTLY_TAG}:${MISSING[*]}"
exit 1
fi
- name: Dry run summary
if: ${{ github.event.inputs.dry_run == 'true' }}
run: |
if [[ "${{ steps.checks.outputs.checks_passed }}" == "true" ]]; then
echo "Dry run complete - all checks passed."
echo "Would have created tag: ${{ steps.checks.outputs.version }}"
if [[ -n "${{ steps.desc.outputs.nightly_tag }}" ]]; then
echo "Would have uploaded nightly-tag.txt: ${{ steps.desc.outputs.nightly_tag }}"
fi
else
echo "::error::Dry run found release check failures. A release tag would not be created."
exit 1
fi
+449
View File
@@ -0,0 +1,449 @@
name: Models Backend Check
on:
workflow_dispatch: # allows manual triggering
push:
branches:
- master
paths: [
'.github/workflows/models-check.yml',
'ggml/**',
'tests/fusion/**',
'tests/test-fusion.cpp',
'tests/test-llama-archs.cpp',
'src/llama-graph.cpp',
'src/llama-model*',
'src/models/**'
]
pull_request:
types: [opened, synchronize, reopened]
paths: [
'.github/workflows/models-check.yml',
'ggml/**',
'tests/fusion/**',
'tests/test-fusion.cpp',
'tests/test-llama-archs.cpp',
'src/llama-graph.cpp',
'src/llama-model*',
'src/models/**'
]
cache-mode: none
permissions:
contents: read
concurrency:
group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
cancel-in-progress: true
env:
# note: this is dud token to avoid rate limiting (https://github.com/ggml-org/llama.cpp/pull/25706#issuecomment-4979941302)
HF_TOKEN: ${{ secrets.HF_TOKEN_CI }}
GGML_NLOOP: 3
GGML_N_THREADS: 1
LLAMA_ARG_LOG_COLORS: 1
LLAMA_ARG_LOG_PREFIX: 1
LLAMA_ARG_LOG_TIMESTAMPS: 1
jobs:
cuda:
runs-on: "hf-jobs-t4-medium:cuda13"
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: Install dependencies
run: |
sudo apt update
sudo apt install -y cmake time python3 python3-venv python3-pip
- name: ccache
uses: ggml-org/ccache-action@v1.2.24
with:
restore: false
save: false
- name: ccache-buckets-restore
uses: ./.github/actions/ccache-buckets
with:
key: models-check-cuda
folder: llama.cpp
hf_bucket: ggml-org/cache
- name: Build
id: cmake_build
run: |
cmake -B build \
-DCMAKE_BUILD_TYPE=Release \
-DLLAMA_FATAL_WARNINGS=ON \
-DLLAMA_OPENSSL=OFF \
-DGGML_SCHED_NO_REALLOC=ON \
-DCMAKE_CUDA_COMPILER=/usr/local/cuda/bin/nvcc \
-DGGML_CUDA=ON
time cmake --build build --config Release --target test-llama-archs -j$(nproc)
time cmake --build build --config Release --target test-fusion -j$(nproc)
- name: ccache-buckets-save
if: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
uses: ./.github/actions/ccache-buckets
env:
HF_TOKEN: ${{ secrets.HF_TOKEN_CACHE_OUTPUT }}
with:
key: models-check-cuda
folder: llama.cpp
evict-old-files: 1d
hf_bucket: ggml-org/cache
save: true
# - name: Generate models
# id: generate_models
# run: |
# rm -rf build-ci-models && mkdir -p build-ci-models
# ./build/bin/test-llama-archs -o build-ci-models
# TODO: add for backends as they adopt the fusion debug API
# - name: Test fusion
# id: test_fusion
# run: |
# ./build/bin/test-fusion --models build-ci-models --device CUDA0 --check tests/fusion/CUDA.csv
- name: Test archs
id: test_archs
run: |
GGML_CUDA_DEVICES=1 ./build/bin/test-llama-archs -s 1
GGML_CUDA_DEVICES=2 ./build/bin/test-llama-archs -s 1
GGML_CUDA_DEVICES=3 ./build/bin/test-llama-archs -s 1
GGML_CUDA_DEVICES=4 ./build/bin/test-llama-archs -s 1
metal:
runs-on: [self-hosted, macOS, ARM64]
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: Build
id: cmake_build
run: |
cmake -B build \
-DCMAKE_BUILD_TYPE=Release \
-DLLAMA_FATAL_WARNINGS=ON \
-DLLAMA_OPENSSL=OFF \
-DGGML_SCHED_NO_REALLOC=ON \
-DGGML_BLAS=OFF \
-DGGML_METAL=ON
time cmake --build build --config Release --target test-llama-archs -j $(sysctl -n hw.logicalcpu)
time cmake --build build --config Release --target test-fusion -j $(sysctl -n hw.logicalcpu)
- name: Generate models
id: generate_models
run: |
rm -rf build-ci-models && mkdir -p build-ci-models
./build/bin/test-llama-archs -o build-ci-models
- name: Test fusion
id: test_fusion
run: |
./build/bin/test-fusion --models build-ci-models --device MTL0 --check tests/fusion/MTL.csv
- name: Test archs
id: test_archs
run: |
GGML_METAL_DEVICES=1 ./build/bin/test-llama-archs -s 1
GGML_METAL_DEVICES=2 ./build/bin/test-llama-archs -s 1
GGML_METAL_DEVICES=3 ./build/bin/test-llama-archs -s 1
GGML_METAL_DEVICES=4 ./build/bin/test-llama-archs -s 1
rocm:
runs-on: [self-hosted, Linux, gfx1201, 1accel]
container: "rocm/dev-ubuntu-24.04:7.2.4-complete"
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: Install dependencies
run: |
apt update
apt install -y build-essential jq cmake time python3 python3-venv python3-pip
- name: ccache
uses: ggml-org/ccache-action@v1.2.24
with:
restore: false
save: false
- name: ccache-buckets-restore
uses: ./.github/actions/ccache-buckets
with:
key: models-check-rocm
folder: llama.cpp
hf_bucket: ggml-org/cache
- name: Build
id: cmake_build
run: |
cmake -B build \
-DCMAKE_BUILD_TYPE=Release \
-DLLAMA_FATAL_WARNINGS=ON \
-DLLAMA_OPENSSL=OFF \
-DGGML_SCHED_NO_REALLOC=ON \
-DCMAKE_HIP_COMPILER=$(hipconfig -l)/clang \
-DGPU_TARGETS=gfx1201 \
-DGGML_HIP=ON
time cmake --build build --config Release --target test-llama-archs -j$(nproc)
time cmake --build build --config Release --target test-fusion -j$(nproc)
- name: ccache-buckets-save
if: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
uses: ./.github/actions/ccache-buckets
env:
HF_TOKEN: ${{ secrets.HF_TOKEN_CACHE_OUTPUT }}
with:
key: models-check-rocm
folder: llama.cpp
evict-old-files: 1d
hf_bucket: ggml-org/cache
save: true
# - name: Generate models
# id: generate_models
# run: |
# rm -rf build-ci-models && mkdir -p build-ci-models
# ./build/bin/test-llama-archs -o build-ci-models
# TODO: add for backends as they adopt the fusion debug API
# - name: Test fusion
# id: test_fusion
# run: |
# ./build/bin/test-fusion --models build-ci-models --device CUDA0 --check tests/fusion/CUDA.csv
- name: Test archs
id: test_archs
run: |
GGML_CUDA_DEVICES=1 ./build/bin/test-llama-archs -s 1
GGML_CUDA_DEVICES=2 ./build/bin/test-llama-archs -s 1
GGML_CUDA_DEVICES=3 ./build/bin/test-llama-archs -s 1
GGML_CUDA_DEVICES=4 ./build/bin/test-llama-archs -s 1
vulkan-nvidia:
runs-on: "hf-jobs-t4-small:ubuntu26_04"
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: Install dependencies
run: |
sudo apt update
sudo apt install -y build-essential cmake libxcb-xinput0 libxcb-xinerama0 libxcb-cursor-dev libvulkan-dev glslc spirv-headers vulkan-tools mesa-vulkan-drivers libglvnd0 libgl1 libglx0 libegl1 libgles2 time python3 python3-venv python3-pip
- name: ccache
uses: ggml-org/ccache-action@v1.2.24
with:
restore: false
save: false
- name: ccache-buckets-restore
uses: ./.github/actions/ccache-buckets
with:
key: models-check-vulkan-nvidia
folder: llama.cpp
hf_bucket: ggml-org/cache
- name: Build
id: cmake_build
run: |
cmake -B build \
-DCMAKE_BUILD_TYPE=Release \
-DLLAMA_FATAL_WARNINGS=ON \
-DLLAMA_OPENSSL=OFF \
-DGGML_SCHED_NO_REALLOC=ON \
-DGGML_VULKAN=ON
time cmake --build build --config Release --target test-llama-archs -j$(nproc)
time cmake --build build --config Release --target test-fusion -j$(nproc)
- name: ccache-buckets-save
if: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
uses: ./.github/actions/ccache-buckets
env:
HF_TOKEN: ${{ secrets.HF_TOKEN_CACHE_OUTPUT }}
with:
key: models-check-vulkan-nvidia
folder: llama.cpp
evict-old-files: 1d
hf_bucket: ggml-org/cache
save: true
# - name: Generate models
# id: generate_models
# run: |
# rm -rf build-ci-models && mkdir -p build-ci-models
# ./build/bin/test-llama-archs -o build-ci-models
# TODO: add for backends as they adopt the fusion debug API
# - name: Test fusion
# id: test_fusion
# run: |
# ./build/bin/test-fusion --models build-ci-models --device Vulkan0 --check tests/fusion/Vulkan.csv
- name: Test archs
id: test_archs
run: |
./build/bin/test-llama-archs -s 1
vulkan-amd:
runs-on: [self-hosted, Linux, gfx1201, 1accel]
container: "ubuntu:26.04"
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: Install dependencies
run: |
apt update
apt install -y build-essential jq cmake libxcb-xinput0 libxcb-xinerama0 libxcb-cursor-dev libvulkan-dev glslc spirv-headers vulkan-tools mesa-vulkan-drivers libglvnd0 libgl1 libglx0 libegl1 libgles2 time python3 python3-venv python3-pip
- name: ccache
uses: ggml-org/ccache-action@v1.2.24
with:
restore: false
save: false
- name: ccache-buckets-restore
uses: ./.github/actions/ccache-buckets
with:
key: models-check-vulkan-amd
folder: llama.cpp
hf_bucket: ggml-org/cache
- name: Build
id: cmake_build
run: |
cmake -B build \
-DCMAKE_BUILD_TYPE=Release \
-DLLAMA_FATAL_WARNINGS=ON \
-DLLAMA_OPENSSL=OFF \
-DGGML_SCHED_NO_REALLOC=ON \
-DGGML_VULKAN=ON
time cmake --build build --config Release --target test-llama-archs -j$(nproc)
time cmake --build build --config Release --target test-fusion -j$(nproc)
- name: ccache-buckets-save
if: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
uses: ./.github/actions/ccache-buckets
env:
HF_TOKEN: ${{ secrets.HF_TOKEN_CACHE_OUTPUT }}
with:
key: models-check-vulkan-amd
folder: llama.cpp
evict-old-files: 1d
hf_bucket: ggml-org/cache
save: true
# - name: Generate models
# id: generate_models
# run: |
# rm -rf build-ci-models && mkdir -p build-ci-models
# ./build/bin/test-llama-archs -o build-ci-models
# TODO: add for backends as they adopt the fusion debug API
# - name: Test fusion
# id: test_fusion
# run: |
# ./build/bin/test-fusion --models build-ci-models --device Vulkan0 --check tests/fusion/Vulkan.csv
- name: Test archs
id: test_archs
run: |
./build/bin/test-llama-archs -s 1
webgpu-nvidia:
runs-on: "hf-jobs-t4-small:ubuntu26_04"
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
- name: Install dependencies
run: |
sudo apt update
sudo apt install -y build-essential cmake libxcb-xinput0 libxcb-xinerama0 libxcb-cursor-dev libvulkan1 mesa-vulkan-drivers libglvnd0 libgl1 libglx0 libegl1 libgles2 time python3 python3-venv python3-pip
- name: ccache
uses: ggml-org/ccache-action@v1.2.24
with:
restore: false
save: false
- name: ccache-buckets-restore
uses: ./.github/actions/ccache-buckets
with:
key: models-check-webgpu-nvidia
folder: llama.cpp
hf_bucket: ggml-org/cache
- name: Dawn Dependency
id: dawn-depends
run: |
DAWN_VERSION="v20260908.214631"
DAWN_OWNER="google"
DAWN_REPO="dawn"
DAWN_ASSET_NAME="Dawn-94c3c9cc0d5fb2e85aebb370fa8d37b71aa34655-ubuntu-latest-Release"
echo "Fetching release asset from https://github.com/google/dawn/releases/download/${DAWN_VERSION}/${DAWN_ASSET_NAME}.tar.gz"
curl -L -o artifact.tar.gz \
"https://github.com/google/dawn/releases/download/${DAWN_VERSION}/${DAWN_ASSET_NAME}.tar.gz"
mkdir dawn
tar -xvf artifact.tar.gz -C dawn --strip-components=1
- name: Build
id: cmake_build
run: |
cmake -B build \
-DCMAKE_BUILD_TYPE=Release \
-DLLAMA_FATAL_WARNINGS=ON \
-DLLAMA_OPENSSL=OFF \
-DGGML_SCHED_NO_REALLOC=ON \
-DCMAKE_PREFIX_PATH="$GITHUB_WORKSPACE/dawn" \
-DDawn_DIR="$GITHUB_WORKSPACE/dawn/lib64/cmake/Dawn" \
-DGGML_WEBGPU=ON
time cmake --build build --config Release --target test-llama-archs -j$(nproc)
time cmake --build build --config Release --target test-fusion -j$(nproc)
- name: ccache-buckets-save
if: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
uses: ./.github/actions/ccache-buckets
env:
HF_TOKEN: ${{ secrets.HF_TOKEN_CACHE_OUTPUT }}
with:
key: models-check-webgpu-nvidia
folder: llama.cpp
evict-old-files: 1d
hf_bucket: ggml-org/cache
save: true
# - name: Generate models
# id: generate_models
# run: |
# rm -rf build-ci-models && mkdir -p build-ci-models
# ./build/bin/test-llama-archs -o build-ci-models
# TODO: add for backends as they adopt the fusion debug API
# - name: Test fusion
# id: test_fusion
# run: |
# ./build/bin/test-fusion --models build-ci-models --device WebGPU --check tests/fusion/WebGPU.csv
- name: Test archs
id: test_archs
run: |
./build/bin/test-llama-archs -s 1
+24
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@@ -0,0 +1,24 @@
name: Convert PR to draft
on:
pull_request_target:
types: [labeled]
cache-mode: none
permissions:
pull-requests: write
issues: write
contents: write # required for "gh pr ready" command, see https://github.com/cli/cli/issues/8910
jobs:
convert-to-draft:
if: github.event.label.name == 'draft' && github.event.pull_request.draft == false
runs-on: ubuntu-slim
steps:
- name: Convert PR to draft
env:
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
PR_URL: ${{ github.event.pull_request.html_url }}
run: |
gh pr ready --undo "$PR_URL"
gh pr edit "$PR_URL" --remove-label draft
+49
View File
@@ -0,0 +1,49 @@
name: Check Pre-Tokenizer Hashes
on:
push:
paths:
- 'conversion/base.py'
- 'convert_hf_to_gguf_update.py'
pull_request:
paths:
- 'conversion/base.py'
- 'convert_hf_to_gguf_update.py'
cache-mode: none
permissions:
contents: read
jobs:
pre-tokenizer-hashes:
runs-on: ubuntu-slim
steps:
- name: Checkout repository
uses: actions/checkout@v6
- name: Set up Python
uses: actions/setup-python@v6
with:
python-version: '3.11'
- name: Install Python dependencies
run: |
python3 -m venv .venv
.venv/bin/pip install -r requirements/requirements-convert_hf_to_gguf_update.txt
- name: Update pre-tokenizer hashes
run: |
cp conversion/base.py /tmp
.venv/bin/python convert_hf_to_gguf_update.py --check-missing
- name: Check if committed pre-tokenizer hashes matches generated version
run: |
if ! diff -q conversion/base.py /tmp/base.py; then
echo "Model pre-tokenizer hashes (in conversion/base.py) do not match generated hashes (from convert_hf_to_gguf_update.py)."
echo "To fix: run ./convert_hf_to_gguf_update.py and commit the updated conversion/base.py along with your changes"
echo "Differences found:"
diff conversion/base.py /tmp/base.py || true
exit 1
fi
echo "Model pre-tokenizer hashes are up to date."
@@ -0,0 +1,37 @@
name: Python check requirements.txt
on:
push:
paths:
- '.github/workflows/python-check-requirements.yml'
- 'scripts/check-requirements.sh'
- 'convert*.py'
- '**/requirements*.txt'
pull_request:
paths:
- '.github/workflows/python-check-requirements.yml'
- 'scripts/check-requirements.sh'
- 'convert*.py'
- '**/requirements*.txt'
cache-mode: none
permissions:
contents: read
concurrency:
group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
cancel-in-progress: true
jobs:
python-check-requirements:
runs-on: ${{ 'ubuntu-24.04-arm' || 'ubuntu-24.04' }}
name: check-requirements
steps:
- name: Check out source repository
uses: actions/checkout@v6
- name: Set up Python environment
uses: actions/setup-python@v6
with:
python-version: "3.11"
- name: Run check-requirements.sh script
run: bash scripts/check-requirements.sh
+40
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@@ -0,0 +1,40 @@
name: flake8 Lint
on:
push:
branches:
- master
paths: [
'.github/workflows/python-lint.yml',
'**/*.py'
]
pull_request:
types: [opened, synchronize, reopened]
paths: [
'.github/workflows/python-lint.yml',
'**/*.py'
]
cache-mode: none
permissions:
contents: read
concurrency:
group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
cancel-in-progress: true
jobs:
flake8-lint:
runs-on: ubuntu-slim
name: Lint
steps:
- name: Check out source repository
uses: actions/checkout@v6
- name: Set up Python environment
uses: actions/setup-python@v6
with:
python-version: "3.11"
- name: flake8 Lint
uses: py-actions/flake8@84ec6726560b6d5bd68f2a5bed83d62b52bb50ba # v2
with:
plugins: "flake8-no-print"
+47
View File
@@ -0,0 +1,47 @@
name: Python Type-Check
on:
push:
paths:
- '.github/workflows/python-type-check.yml'
- 'ty.toml'
- '**.py'
- '**/requirements*.txt'
# - 'pyrightconfig.json'
pull_request:
paths:
- '.github/workflows/python-type-check.yml'
- 'ty.toml'
- '**.py'
- '**/requirements*.txt'
# - 'pyrightconfig.json'
cache-mode: none
permissions:
contents: read
concurrency:
group: ${{ github.workflow }}-${{ github.head_ref && github.ref || github.run_id }}
cancel-in-progress: true
jobs:
python-type-check:
runs-on: ubuntu-slim
name: python type-check
steps:
- name: Check out source repository
uses: actions/checkout@v6
- name: Set up Python environment
uses: actions/setup-python@v6
with:
python-version: "3.11"
pip-install: -r requirements/requirements-all.txt ty==0.0.88
# - name: Type-check with Pyright
# uses: jakebailey/pyright-action@v2
# with:
# version: 1.1.382
# level: warning
# warnings: true
- name: Type-check with ty
run: |
ty check --exit-zero-on-warning --output-format=github
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name: Publish Release
on:
workflow_run:
workflows:
- Release
types:
- completed
branches:
- master
run-name: "Publish ${{ github.event.workflow_run.display_title }}"
cache-mode: none
permissions:
actions: read
contents: read
env:
GH_TOKEN: ${{ github.token }}
BRANCH_NAME: master
jobs:
publish:
if: ${{ github.event.workflow_run.conclusion == 'success' }}
# Fine-grained permission
# https://docs.github.com/en/actions/security-for-github-actions/security-guides/automatic-token-authentication#modifying-the-permissions-for-the-github_token
permissions:
actions: read
contents: write # for creating release
id-token: write
attestations: write
runs-on: ubuntu-latest
outputs:
should_release: ${{ steps.check.outputs.should_release }}
tag_name: ${{ steps.tag.outputs.name }}
steps:
- id: check
env:
COMMIT_MESSAGE: ${{ github.event.workflow_run.head_commit.message }}
run: |
if echo "$COMMIT_MESSAGE" | grep -q '\[no release\]'; then
echo "should_release=false" >> $GITHUB_OUTPUT
else
echo "should_release=true" >> $GITHUB_OUTPUT
fi
- name: Clone
if: ${{ steps.check.outputs.should_release == 'true' }}
id: checkout
uses: actions/checkout@v6
with:
ref: ${{ github.event.workflow_run.head_sha }}
fetch-depth: 0
ssh-key: ${{ secrets.DEPLOY_KEY_RELEASE }}
- name: Determine tag name
if: ${{ steps.check.outputs.should_release == 'true' }}
id: tag
uses: ./.github/actions/get-tag-name
- name: Download artifacts
if: ${{ steps.check.outputs.should_release == 'true' }}
id: download-artifact
uses: actions/download-artifact@v8
with:
path: ./artifact
run-id: ${{ github.event.workflow_run.id }}
github-token: ${{ github.token }}
merge-multiple: true
skip-decompress: true
- name: Merge artifacts
if: ${{ steps.check.outputs.should_release == 'true' }}
id: move_artifacts
run: |
mkdir -p release
# the windows-cpu zip contains the full toolset (llama-server with the embedded
# UI, ggml-cpu) - inject it into the other windows zips so that every archive
# ships the same binaries, only with a different backend library on top
echo "Injecting windows-cpu binaries (llama-server + CPU backend) into the backend zips..."
for arch in x64 arm64; do
cpu_zip="artifact/llama-bin-win-cpu-${arch}.zip"
temp_dir=$(mktemp -d)
echo "Extracting windows-cpu-${arch} package..."
unzip "$cpu_zip" -d "$temp_dir"
echo "Merging into $arch zips..."
for target_zip in artifact/llama-bin-win-*-${arch}.zip; do
if [[ "$target_zip" == "$cpu_zip" ]]; then
continue
fi
echo "Injecting into $(basename "$target_zip")"
realpath_target_zip=$(realpath "$target_zip")
(cd "$temp_dir" && zip -r "$realpath_target_zip" .)
done
rm -rf "$temp_dir"
done
echo "Renaming and moving zips to release..."
for zip_file in artifact/llama-bin-win-*.zip; do
base_name=$(basename "$zip_file" .zip)
zip_name="llama-${{ steps.tag.outputs.name }}-${base_name#llama-}.zip"
echo "Moving $zip_file to release/$zip_name"
mv "$zip_file" "release/$zip_name"
done
echo "Moving other artifacts..."
rm -f artifact/llama-ui.zip
mv -v artifact/*.zip release
mv -v artifact/*.tar.gz release
- name: Download UI build
if: ${{ steps.check.outputs.should_release == 'true' }}
id: download_ui
uses: actions/download-artifact@v8
with:
name: llama-ui.zip
path: ./ui-dist
run-id: ${{ github.event.workflow_run.id }}
github-token: ${{ github.token }}
- name: Package UI
if: ${{ steps.check.outputs.should_release == 'true' }}
id: package_ui
run: |
tar -czvf release/llama-${{ steps.tag.outputs.name }}-ui.tar.gz --transform "s,^\.,llama-${{ steps.tag.outputs.name }}," -C ./ui-dist .
- name: Attest release artifacts
if: ${{ steps.check.outputs.should_release == 'true' }}
id: attest
uses: actions/attest@v4
with:
subject-path: 'release/*'
- name: Create release
if: ${{ steps.check.outputs.should_release == 'true' }}
id: create_release
uses: ggml-org/action-create-release@v1
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
with:
tag_name: ${{ steps.tag.outputs.name }}
commitish: ${{ github.event.workflow_run.head_sha }}
prerelease: true
body: |
<details open>
${{ github.event.workflow_run.head_commit.message }}
</details>
**Website:**
- <https://llama.app>
**Attestations:**
- <${{ steps.attest.outputs.attestation-url }}>
**macOS/iOS:**
- [macOS Apple Silicon (arm64)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-macos-arm64.tar.gz)
- macOS Apple Silicon (arm64, KleidiAI enabled) [DISABLED](https://github.com/ggml-org/llama.cpp/pull/23780)
- [macOS Intel (x64)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-macos-x64.tar.gz)
- [iOS XCFramework](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-xcframework.zip)
**Linux:**
- [Ubuntu x64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-ubuntu-x64.tar.gz)
- [Ubuntu arm64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-ubuntu-arm64.tar.gz)
- [Ubuntu s390x (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-ubuntu-s390x.tar.gz)
- [Ubuntu x64 (Vulkan)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-ubuntu-vulkan-x64.tar.gz)
- [Ubuntu arm64 (Vulkan)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-ubuntu-vulkan-arm64.tar.gz)
- [Ubuntu x64 (CUDA 12)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-ubuntu-cuda-12.8-x64.tar.gz) - [CUDA 12.8 libraries](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/cudart-llama-${{ steps.tag.outputs.name }}-bin-ubuntu-cuda-12.8-x64.tar.gz)
- [Ubuntu x64 (CUDA 13)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-ubuntu-cuda-13.4-x64.tar.gz) - [CUDA 13.4 libraries](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/cudart-llama-${{ steps.tag.outputs.name }}-bin-ubuntu-cuda-13.4-x64.tar.gz)
- [Ubuntu arm64 (CUDA 13)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-ubuntu-cuda-13.4-arm64.tar.gz) - [CUDA 13.4 libraries](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/cudart-llama-${{ steps.tag.outputs.name }}-bin-ubuntu-cuda-13.4-arm64.tar.gz)
- [Ubuntu x64 (ROCm 10.0)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-ubuntu-rocm-10.0-x64.tar.gz)
- [Ubuntu x64 (OpenVINO)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-ubuntu-openvino-2026.4.1-x64.tar.gz)
- [Ubuntu x64 (SYCL FP32)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-ubuntu-sycl-fp32-x64.tar.gz)
- [Ubuntu x64 (SYCL FP16)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-ubuntu-sycl-fp16-x64.tar.gz)
- [Linux arm64 (Snapdragon: CPU, Adreno GPU, Hexagon NPU)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-linux-arm64-snapdragon.tar.gz) - [setup guide](https://github.com/ggml-org/llama.cpp/blob/master/docs/backend/snapdragon/linux.md)
**Android:**
- [Android arm64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-android-arm64.tar.gz)
- [Android arm64 (Snapdragon: CPU, Adreno GPU, Hexagon NPU)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-android-arm64-snapdragon.tar.gz) - [setup guide](https://github.com/ggml-org/llama.cpp/blob/master/docs/backend/snapdragon/README.md)
**Windows:**
- [Windows x64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-win-cpu-x64.zip)
- [Windows arm64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-win-cpu-arm64.zip)
- [Windows arm64 (OpenCL Adreno)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-win-opencl-adreno-arm64.zip)
- [Windows x64 (CUDA 12)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-win-cuda-12.4-x64.zip) - [CUDA 12.4 DLLs](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/cudart-llama-bin-win-cuda-12.4-x64.zip)
- [Windows x64 (CUDA 13)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-win-cuda-13.4-x64.zip) - [CUDA 13.4 DLLs](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/cudart-llama-bin-win-cuda-13.4-x64.zip)
- [Windows arm64 (CUDA 13)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-win-cuda-13.4-arm64.zip) - [CUDA 13.4 DLLs](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/cudart-llama-bin-win-cuda-13.4-arm64.zip)
- [Windows x64 (Vulkan)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-win-vulkan-x64.zip)
- [Windows arm64 (Vulkan)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-win-vulkan-arm64.zip)
- [Windows x64 (OpenVINO)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-win-openvino-2026.4.1-x64.zip)
- [Windows x64 (SYCL)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-win-sycl-x64.zip)
- [Windows x64 (ROCm 10.0)](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-bin-win-rocm-10.0-x64.zip)
**openEuler:**
- [DISABLED](https://github.com/ggml-org/llama.cpp/pull/23705)
- openEuler x86 (310p)
- openEuler x86 (910b, ACL Graph)
- openEuler aarch64 (310p)
- openEuler aarch64 (910b, ACL Graph)
**UI:**
- [UI](https://github.com/ggml-org/llama.cpp/releases/download/${{ steps.tag.outputs.name }}/llama-${{ steps.tag.outputs.name }}-ui.tar.gz)
- name: Upload release
if: ${{ steps.check.outputs.should_release == 'true' }}
id: upload_release
uses: actions/github-script@v8
with:
github-token: ${{secrets.GITHUB_TOKEN}}
script: |
const path = require('path');
const fs = require('fs');
const release_id = '${{ steps.create_release.outputs.id }}';
for (let file of await fs.readdirSync('./release')) {
if (path.extname(file) === '.zip' || file.endsWith('.tar.gz')) {
console.log('uploadReleaseAsset', file);
await github.rest.repos.uploadReleaseAsset({
owner: context.repo.owner,
repo: context.repo.repo,
release_id: release_id,
name: file,
data: await fs.readFileSync(`./release/${file}`)
});
}
}
ui-publish:
if: ${{ needs.publish.outputs.should_release == 'true' }}
needs:
- publish
uses: ./.github/workflows/ui-publish.yml
with:
version_tag: ${{ needs.publish.outputs.tag_name }}
run_id: ${{ github.event.workflow_run.id }}
secrets:
hf_token: ${{ secrets.HF_TOKEN_UI_STATIC_OUTPUT }}
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name: Server (sanitize)
on:
workflow_dispatch: # allows manual triggering
inputs:
sha:
description: 'Commit SHA1 to build'
required: false
type: string
slow_tests:
description: 'Run slow tests'
required: true
type: boolean
push:
branches:
- master
paths: [
'.github/workflows/server-sanitize.yml',
'**/CMakeLists.txt',
'**/Makefile',
'**/*.h',
'**/*.hpp',
'**/*.c',
'**/*.cpp',
'tools/server/**.*'
]
pull_request:
types: [opened, synchronize, reopened]
paths: [
'.github/workflows/server-sanitize.yml'
]
cache-mode: none
permissions:
contents: read
env:
# note: this is dud token to avoid rate limiting (https://github.com/ggml-org/llama.cpp/pull/25706#issuecomment-4979941302)
HF_TOKEN: ${{ secrets.HF_TOKEN_CI }}
LLAMA_ARG_LOG_COLORS: 1
LLAMA_ARG_LOG_PREFIX: 1
LLAMA_ARG_LOG_TIMESTAMPS: 1
LLAMA_ARG_LOG_VERBOSITY: 10
concurrency:
group: ${{ github.workflow }}-${{ github.ref }}-${{ github.head_ref || github.run_id }}
cancel-in-progress: true
jobs:
server:
runs-on: hf-jobs-cpu-performance
strategy:
matrix:
sanitizer: [ADDRESS, UNDEFINED] # THREAD is very slow
build_type: [RelWithDebInfo]
fail-fast: false
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
with:
fetch-depth: 0
ref: ${{ github.event.inputs.sha || github.event.pull_request.head.sha || github.sha || github.head_ref || github.ref_name }}
- name: Install dependencies
run: |
sudo apt update
sudo apt install -y build-essential cmake python3-full
- name: ccache
uses: ggml-org/ccache-action@v1.2.24
with:
restore: false
save: false
- name: ccache-buckets-restore
uses: ./.github/actions/ccache-buckets
with:
key: server-sanitize-${{ matrix.sanitizer }}
folder: llama.cpp
hf_bucket: ggml-org/cache
- name: Build
id: cmake_build
run: |
cmake -B build \
-DLLAMA_BUILD_BORINGSSL=ON \
-DGGML_SCHED_NO_REALLOC=ON \
-DGGML_SANITIZE_ADDRESS=${{ matrix.sanitizer == 'ADDRESS' }} \
-DGGML_SANITIZE_THREAD=${{ matrix.sanitizer == 'THREAD' }} \
-DGGML_SANITIZE_UNDEFINED=${{ matrix.sanitizer == 'UNDEFINED' }} \
-DLLAMA_SANITIZE_ADDRESS=${{ matrix.sanitizer == 'ADDRESS' }} \
-DLLAMA_SANITIZE_THREAD=${{ matrix.sanitizer == 'THREAD' }} \
-DLLAMA_SANITIZE_UNDEFINED=${{ matrix.sanitizer == 'UNDEFINED' }}
cmake --build build --config ${{ matrix.build_type }} -j $(nproc) --target llama-server
- name: ccache-buckets-save
if: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
uses: ./.github/actions/ccache-buckets
env:
HF_TOKEN: ${{ secrets.HF_TOKEN_CACHE_OUTPUT }}
with:
key: server-sanitize-${{ matrix.sanitizer }}
folder: llama.cpp
evict-old-files: 1d
hf_bucket: ggml-org/cache
save: true
- name: Install Python dependencies
run: |
python3 -m venv .venv
.venv/bin/pip install -r tools/server/tests/requirements.txt
- name: Tests
id: server_integration_tests
if: ${{ (!matrix.disabled_on_pr || !github.event.pull_request) }}
run: |
source .venv/bin/activate
cd tools/server/tests
PYTEST_WORKERS=4 ./tests.sh
- name: Slow tests
id: server_integration_tests_slow
if: ${{ (github.event.schedule || github.event.inputs.slow_tests == 'true') && matrix.build_type == 'Release' }}
run: |
source .venv/bin/activate
cd tools/server/tests
PYTEST_WORKERS=4 SLOW_TESTS=1 ./tests.sh
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name: Server (self-hosted)
on:
workflow_dispatch: # allows manual triggering
inputs:
sha:
description: 'Commit SHA1 to build'
required: false
type: string
slow_tests:
description: 'Run slow tests'
required: true
type: boolean
push:
branches:
- master
paths: [
'.github/workflows/server-self-hosted.yml',
'**/CMakeLists.txt',
'**/Makefile',
'**/*.h',
'**/*.hpp',
'**/*.c',
'**/*.cpp',
'**/*.cu',
'**/*.swift',
'**/*.m',
'tools/server/**.*'
]
cache-mode: none
permissions:
contents: read
env:
# note: this is dud token to avoid rate limiting (https://github.com/ggml-org/llama.cpp/pull/25706#issuecomment-4979941302)
HF_TOKEN: ${{ secrets.HF_TOKEN_CI }}
LLAMA_ARG_LOG_COLORS: 1
LLAMA_ARG_LOG_PREFIX: 1
LLAMA_ARG_LOG_TIMESTAMPS: 1
LLAMA_ARG_LOG_VERBOSITY: 10
concurrency:
group: ${{ github.workflow }}-${{ github.ref }}-${{ github.head_ref || github.run_id }}
cancel-in-progress: true
jobs:
server-metal:
runs-on: [self-hosted, llama-server, macOS, ARM64]
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
with:
fetch-depth: 0
ref: ${{ github.event.inputs.sha || github.event.pull_request.head.sha || github.sha || github.head_ref || github.ref_name }}
- name: Build
id: cmake_build
run: |
cmake -B build -DGGML_SCHED_NO_REALLOC=ON
cmake --build build --config Release -j $(sysctl -n hw.logicalcpu) --target llama-server
- name: Python setup
id: setup_python
run: |
cd tools/server/tests
python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt
- name: Tests (GPUx1)
id: server_integration_tests
if: ${{ !github.event.pull_request }}
run: |
cd tools/server/tests
source venv/bin/activate
PYTEST_WORKERS=1 ./tests.sh
- name: Tests (GPUx1, backend-sampling)
id: server_integration_tests_backend_sampling
if: ${{ !github.event.pull_request }}
run: |
cd tools/server/tests
source venv/bin/activate
export LLAMA_ARG_BACKEND_SAMPLING=1
PYTEST_WORKERS=1 ./tests.sh
- name: Tests (GPUx2)
id: server_integration_tests_gpu2
if: ${{ !github.event.pull_request }}
run: |
cd tools/server/tests
source venv/bin/activate
export GGML_METAL_DEVICES=2
PYTEST_WORKERS=1 ./tests.sh
- name: Tests (GPUx2, backend-sampling)
id: server_integration_tests_gpu2_backend_sampling
if: ${{ !github.event.pull_request }}
run: |
cd tools/server/tests
source venv/bin/activate
export GGML_METAL_DEVICES=2 LLAMA_ARG_BACKEND_SAMPLING=1
PYTEST_WORKERS=1 ./tests.sh
server-cuda:
runs-on: "hf-jobs-t4-medium:cuda13"
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
with:
fetch-depth: 0
ref: ${{ github.event.inputs.sha || github.event.pull_request.head.sha || github.sha || github.head_ref || github.ref_name }}
- name: Install dependencies
run: |
sudo apt update
sudo apt install -y cmake libssl-dev python3 python3-venv python3-pip
- name: ccache
uses: ggml-org/ccache-action@v1.2.24
with:
restore: false
save: false
- name: ccache-buckets-restore
uses: ./.github/actions/ccache-buckets
with:
key: self-hosted-server-cuda
folder: llama.cpp
hf_bucket: ggml-org/cache
- name: Build
id: cmake_build
run: |
cmake -B build -DGGML_CUDA=ON -DGGML_SCHED_NO_REALLOC=ON -DCMAKE_CUDA_COMPILER=/usr/local/cuda/bin/nvcc
cmake --build build --config Release -j $(nproc) --target llama-server
- name: ccache-buckets-save
if: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
uses: ./.github/actions/ccache-buckets
env:
HF_TOKEN: ${{ secrets.HF_TOKEN_CACHE_OUTPUT }}
with:
key: self-hosted-server-cuda
folder: llama.cpp
evict-old-files: 1d
hf_bucket: ggml-org/cache
save: true
- name: Python setup
id: setup_python
run: |
cd tools/server/tests
python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt
- name: Tests (GPUx1)
id: server_integration_tests
if: ${{ !github.event.pull_request }}
run: |
cd tools/server/tests
source venv/bin/activate
PYTEST_WORKERS=1 ./tests.sh
- name: Tests (GPUx1, backend-sampling)
id: server_integration_tests_backend_sampling
if: ${{ !github.event.pull_request }}
run: |
cd tools/server/tests
source venv/bin/activate
export LLAMA_ARG_BACKEND_SAMPLING=1
PYTEST_WORKERS=1 ./tests.sh
- name: Tests (GPUx2)
id: server_integration_tests_gpu2
if: ${{ !github.event.pull_request }}
run: |
cd tools/server/tests
source venv/bin/activate
export GGML_CUDA_DEVICES=2
PYTEST_WORKERS=1 ./tests.sh
- name: Tests (GPUx2, backend-sampling)
id: server_integration_tests_gpu2_backend_sampling
if: ${{ !github.event.pull_request }}
run: |
cd tools/server/tests
source venv/bin/activate
export GGML_CUDA_DEVICES=2 LLAMA_ARG_BACKEND_SAMPLING=1
PYTEST_WORKERS=1 ./tests.sh
server-kleidiai:
runs-on: ah-ubuntu_24_04-c8g_8x
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
with:
fetch-depth: 0
ref: ${{ github.event.inputs.sha || github.event.pull_request.head.sha || github.sha || github.head_ref || github.ref_name }}
- name: Dependencies
id: depends
run: |
set -euxo pipefail
sudo apt-get update
sudo DEBIAN_FRONTEND=noninteractive NEEDRESTART_MODE=a \
apt-get install -y \
build-essential \
libssl-dev \
python3-venv \
gpg \
wget \
time \
git-lfs
git lfs install
# install the latest cmake
sudo install -d /usr/share/keyrings
wget -O - https://apt.kitware.com/keys/kitware-archive-latest.asc \
| gpg --dearmor \
| sudo tee /usr/share/keyrings/kitware-archive-keyring.gpg >/dev/null
echo 'deb [signed-by=/usr/share/keyrings/kitware-archive-keyring.gpg] https://apt.kitware.com/ubuntu/ jammy main' \
| sudo tee /etc/apt/sources.list.d/kitware.list
sudo apt-get update
sudo apt-get install -y cmake
- name: Build
id: cmake_build
run: |
cmake -B build -DGGML_SCHED_NO_REALLOC=ON -DGGML_CPU_KLEIDIAI=ON -DLLAMA_FATAL_WARNINGS=ON
cmake --build build --config Release -j $(nproc) --target llama-server
- name: Python setup
id: setup_python
run: |
cd tools/server/tests
python3 -m venv venv
source venv/bin/activate
pip install -r requirements.txt
- name: Tests
id: server_integration_tests
if: ${{ !github.event.pull_request }}
run: |
cd tools/server/tests
source venv/bin/activate
./tests.sh
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name: Server
on:
workflow_dispatch: # allows manual triggering
inputs:
sha:
description: 'Commit SHA1 to build'
required: false
type: string
slow_tests:
description: 'Run slow tests'
required: true
type: boolean
push:
branches:
- master
paths: [
'.github/workflows/server.yml',
'**/CMakeLists.txt',
'**/Makefile',
'**/*.h',
'**/*.hpp',
'**/*.c',
'**/*.cpp',
'**/*.cu',
'**/*.swift',
'**/*.m',
'tools/server/**.*'
]
pull_request:
types: [opened, synchronize, reopened]
paths: [
'.github/workflows/server.yml',
'**/CMakeLists.txt',
'**/Makefile',
'**/*.h',
'**/*.hpp',
'**/*.c',
'**/*.cpp',
'**/*.cu',
'**/*.swift',
'**/*.m',
'tools/server/**.*'
]
cache-mode: none
permissions:
contents: read
env:
LLAMA_ARG_LOG_COLORS: 1
LLAMA_ARG_LOG_PREFIX: 1
LLAMA_ARG_LOG_TIMESTAMPS: 1
LLAMA_ARG_LOG_VERBOSITY: 10
concurrency:
group: ${{ github.workflow }}-${{ github.ref }}-${{ github.head_ref || github.run_id }}
cancel-in-progress: true
jobs:
ubuntu:
runs-on: ubuntu-24.04-arm
steps:
- name: Dependencies
id: depends
run: |
sudo apt-get update
sudo apt-get -y install \
build-essential \
xxd \
git \
cmake \
curl \
wget \
language-pack-en \
libssl-dev
- name: Clone
id: checkout
uses: actions/checkout@v6
with:
fetch-depth: 0
ref: ${{ github.event.inputs.sha || github.event.pull_request.head.sha || github.sha || github.head_ref || github.ref_name }}
- name: ccache
uses: ggml-org/ccache-action@v1.2.24
with:
restore: false
save: false
- name: ccache-buckets-restore
uses: ./.github/actions/ccache-buckets
env:
HF_TOKEN: ${{ secrets.HF_TOKEN_CI }}
with:
key: server-ubuntu-24.04-arm
folder: llama.cpp
hf_bucket: ggml-org/cache
- name: Build
id: cmake_build
run: |
cmake -B build \
-DGGML_SCHED_NO_REALLOC=ON
cmake --build build --config Release -j $(nproc) --target llama-server
- name: ccache-buckets-save
if: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
uses: ./.github/actions/ccache-buckets
env:
HF_TOKEN: ${{ secrets.HF_TOKEN_CACHE_OUTPUT }}
with:
key: server-ubuntu-24.04-arm
folder: llama.cpp
evict-old-files: 1d
hf_bucket: ggml-org/cache
save: true
- name: Python setup
id: setup_python
uses: actions/setup-python@v6
with:
python-version: '3.11'
pip-install: -r tools/server/tests/requirements.txt
- name: Tests
id: server_integration_tests
run: |
cd tools/server/tests
./tests.sh
- name: Slow tests
id: server_integration_tests_slow
if: ${{ github.event.schedule || github.event.inputs.slow_tests == 'true' }}
run: |
cd tools/server/tests
SLOW_TESTS=1 ./tests.sh
- name: Tests (Backend sampling)
id: server_integration_tests_backend_sampling
run: |
cd tools/server/tests
export LLAMA_ARG_BACKEND_SAMPLING=1
./tests.sh
- name: Slow tests (Backend sampling)
id: server_integration_tests_slow_backend_sampling
if: ${{ github.event.schedule || github.event.inputs.slow_tests == 'true' }}
run: |
cd tools/server/tests
export LLAMA_ARG_BACKEND_SAMPLING=1
SLOW_TESTS=1 ./tests.sh
windows:
runs-on: windows-2025
cache-mode: write
permissions:
actions: write
contents: read
steps:
- name: Clone
id: checkout
uses: actions/checkout@v6
with:
fetch-depth: 0
ref: ${{ github.event.inputs.sha || github.event.pull_request.head.sha || github.sha || github.head_ref || github.ref_name }}
- name: ccache
uses: ggml-org/ccache-action@v1.2.24
with:
key: server-windows-2025-x64
evict-old-files: 1d
save: ${{ github.event_name == 'push' && github.ref == 'refs/heads/master' }}
- name: Build
id: cmake_build
shell: cmd
run: |
cmake -B build -G "Ninja Multi-Config" ^
-DCMAKE_TOOLCHAIN_FILE=cmake/x64-windows-llvm.cmake ^
-DCMAKE_BUILD_TYPE=Release ^
-DLLAMA_BUILD_BORINGSSL=ON ^
-DGGML_SCHED_NO_REALLOC=ON
set /A NINJA_JOBS=%NUMBER_OF_PROCESSORS%-1
cmake --build build --config Release -j %NINJA_JOBS% --target llama-server
- name: Python setup
id: setup_python
uses: actions/setup-python@v6
with:
python-version: '3.11'
pip-install: -r tools/server/tests/requirements.txt
- name: Tests
id: server_integration_tests
shell: bash
run: |
cd tools/server/tests
export PYTHONIOENCODING=":replace"
./tests.sh
- name: Slow tests
id: server_integration_tests_slow
if: ${{ github.event.schedule || github.event.inputs.slow_tests == 'true' }}
shell: bash
run: |
cd tools/server/tests
export SLOW_TESTS="1"
./tests.sh
- name: ccache-clear
uses: ./.github/actions/ccache-clear
env:
GH_TOKEN: ${{ github.token }}
with:
key: server-windows-2025-x64
older: 5m
min: 1
dry-run: ${{ github.event_name != 'push' || github.ref != 'refs/heads/master' }}
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name: UI Build (self-hosted)
on:
workflow_call:
cache-mode: none
permissions:
actions: write
contents: read
jobs:
build:
runs-on: [self-hosted, fast]
env:
BRANCH_NAME: ${{ github.head_ref || github.ref_name }}
steps:
- name: Checkout code
uses: actions/checkout@v6
- name: Setup Node.js
uses: actions/setup-node@v6
with:
node-version: "24"
# cache: "npm"
# cache-dependency-path: "tools/ui/package-lock.json"
package-manager-cache: false
- name: Install dependencies
run: npm ci
working-directory: tools/ui
- name: Build application
run: npm run build
working-directory: tools/ui
- name: Upload built UI
uses: actions/upload-artifact@v6
with:
name: llama-ui.zip
path: tools/ui/dist/
retention-days: 1
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name: UI Build
on:
workflow_call:
inputs:
ui_version:
description: 'Version string embedded in build.json (e.g. b1234); defaults to b<commit-count>'
required: false
type: string
cache-mode: none
permissions:
actions: write
contents: read
jobs:
build:
runs-on: ubuntu-slim
steps:
- name: Checkout code
uses: actions/checkout@v6
with:
fetch-depth: 0
- name: Resolve UI version
id: version
run: |
version="${{ inputs.ui_version }}"
if [ -z "$version" ]; then
version="b$(git rev-list --count HEAD)"
fi
echo "ui_version=${version}" >> $GITHUB_OUTPUT
- name: Setup Node.js
uses: actions/setup-node@v6
with:
node-version: "24"
# cache: "npm"
# cache-dependency-path: "tools/ui/package-lock.json"
package-manager-cache: false
- name: Install dependencies
run: npm ci
working-directory: tools/ui
- name: Build application
env:
LLAMA_BUILD_NUMBER: ${{ steps.version.outputs.ui_version }}
run: npm run build
working-directory: tools/ui
- name: Run PWA unit tests (versioned build output)
run: npx vitest --project=unit --run tests/unit/pwa.spec.ts
working-directory: tools/ui
- name: Upload built UI
uses: actions/upload-artifact@v7
with:
name: llama-ui.zip
path: tools/ui/dist/
retention-days: 1
+72
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name: UI Publish
on:
workflow_call:
inputs:
version_tag:
description: 'Version tag to publish under (e.g., b1234)'
required: true
type: string
run_id:
required: true
type: number
secrets:
hf_token:
description: 'Hugging Face token with write access'
required: true
cache-mode: none
permissions:
actions: read
contents: read
jobs:
publish:
name: Publish UI Static Output
runs-on: ubuntu-slim
env:
HF_BUCKET_NAME: ${{ vars.HF_BUCKET_UI_STATIC_OUTPUT }}
steps:
- name: Download UI build artifact
uses: actions/download-artifact@v8
with:
name: llama-ui.zip
path: tools/ui/dist/
run-id: ${{ inputs.run_id }}
github-token: ${{ github.token }}
- name: Create distribution archive
run: |
tar -czf dist.tar.gz -C tools/ui/dist .
sha256sum dist.tar.gz > dist.tar.gz.sha256
mv dist.tar.gz dist.tar.gz.sha256 tools/ui/dist/
- name: Install Hugging Face Hub CLI
run: pip install -U huggingface_hub
- name: Authenticate with Hugging Face
run: hf auth login --token ${{ secrets.hf_token }}
- name: Sync built files to Hugging Face bucket (version tag)
run: |
# Upload the built files to the Hugging Face bucket under the release version
hf buckets sync tools/ui/dist hf://buckets/ggml-org/${{ env.HF_BUCKET_NAME }}/${{ inputs.version_tag }} --delete --quiet
- name: Sync built files to Hugging Face bucket (latest)
run: |
# Also upload to the 'latest' directory for fallback downloads
hf buckets sync tools/ui/dist hf://buckets/ggml-org/${{ env.HF_BUCKET_NAME }}/latest --delete --quiet
- name: Verify upload
run: |
# List the files in the bucket to verify the upload
hf buckets list hf://buckets/ggml-org/${{ env.HF_BUCKET_NAME }}/${{ inputs.version_tag }} -R -h
- name: Clean up root-level files
run: |
# Clean up any old root-level files from previous non-versioned deployments
hf buckets rm ggml-org/${{ env.HF_BUCKET_NAME }}/index.html --yes 2>/dev/null || true
hf buckets rm ggml-org/${{ env.HF_BUCKET_NAME }}/bundle.js --yes 2>/dev/null || true
hf buckets rm ggml-org/${{ env.HF_BUCKET_NAME }}/bundle.css --yes 2>/dev/null || true
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name: UI (self-hosted)
# these are the same as ui.yml, but with self-hosted runners
# the jobs are lighter because they don't need to install Node.js or Playwright browsers
# the runner has pre-installed Playwright browsers for @playwright/test (1.56.1) at /ms-playwright/
on:
workflow_dispatch:
inputs:
sha:
description: 'Commit SHA1 to build'
required: false
type: string
push:
branches:
- master
paths: [
'.github/workflows/ui-self-hosted.yml',
'.github/workflows/ui-build-self-hosted.yml',
'tools/ui/**.*',
'tools/server/tests/**.*'
]
pull_request:
types: [opened, synchronize, reopened]
paths: [
'.github/workflows/ui-self-hosted.yml',
'.github/workflows/ui-build-self-hosted.yml',
'tools/ui/**.*',
'tools/server/tests/**.*'
]
cache-mode: none
permissions:
actions: read
contents: read
env:
LLAMA_ARG_LOG_COLORS: 1
LLAMA_ARG_LOG_PREFIX: 1
LLAMA_ARG_LOG_TIMESTAMPS: 1
LLAMA_ARG_LOG_VERBOSITY: 10
concurrency:
group: ${{ github.workflow }}-${{ github.ref }}-${{ github.head_ref || github.run_id }}
cancel-in-progress: true
jobs:
ui-build:
name: Build static output
uses: ./.github/workflows/ui-build-self-hosted.yml
permissions:
actions: write
contents: read
ui-checks:
name: Checks
needs: ui-build
runs-on: [self-hosted, PLAYWRIGHT]
continue-on-error: true
steps:
- name: Checkout code
uses: actions/checkout@v6
with:
fetch-depth: 0
ref: ${{ github.event.inputs.sha || github.event.pull_request.head.sha || github.sha || github.head_ref || github.ref_name }}
- name: Install dependencies
id: setup
run: npm ci
working-directory: tools/ui
- name: Download built UI artifacts
uses: actions/download-artifact@v6
with:
name: llama-ui.zip
path: tools/ui/dist/
- name: Run type checking
if: ${{ always() && steps.setup.conclusion == 'success' }}
run: npm run check
working-directory: tools/ui
- name: Run linting
if: ${{ always() && steps.setup.conclusion == 'success' }}
run: npm run lint
working-directory: tools/ui
- name: Run Client tests
if: ${{ always() && steps.setup.conclusion == 'success' }}
run: npm run test:client
working-directory: tools/ui
- name: Run Unit tests
if: ${{ always() && steps.setup.conclusion == 'success' }}
run: npm run test:unit
working-directory: tools/ui
e2e-tests:
name: E2E Tests
needs: ui-build
runs-on: [self-hosted, PLAYWRIGHT]
steps:
- name: Checkout code
uses: actions/checkout@v6
with:
fetch-depth: 0
ref: ${{ github.event.inputs.sha || github.event.pull_request.head.sha || github.sha || github.head_ref || github.ref_name }}
- name: Install dependencies
id: setup
run: npm ci
working-directory: tools/ui
- name: Download built UI artifacts
uses: actions/download-artifact@v6
with:
name: llama-ui.zip
path: tools/ui/dist/
- name: Build Storybook
if: ${{ always() && steps.setup.conclusion == 'success' }}
run: npm run build-storybook
working-directory: tools/ui
- name: Run UI tests
if: ${{ always() && steps.setup.conclusion == 'success' }}
run: npm run test:ui -- --testTimeout=60000
working-directory: tools/ui
- name: Run E2E tests
if: ${{ always() && steps.setup.conclusion == 'success' }}
run: npm run test:e2e
working-directory: tools/ui
+161
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name: UI
on:
workflow_dispatch:
inputs:
sha:
description: 'Commit SHA1 to build'
required: false
type: string
push:
branches:
- master
paths: [
'.github/workflows/ui.yml',
'.github/workflows/ui-build.yml',
'tools/ui/**.*',
'tools/server/tests/**.*'
]
pull_request:
types: [opened, synchronize, reopened]
paths: [
'.github/workflows/ui.yml',
'.github/workflows/ui-build.yml',
'tools/ui/**.*',
'tools/server/tests/**.*'
]
cache-mode: none
permissions:
actions: read
contents: read
env:
LLAMA_ARG_LOG_COLORS: 1
LLAMA_ARG_LOG_PREFIX: 1
LLAMA_ARG_LOG_TIMESTAMPS: 1
LLAMA_ARG_LOG_VERBOSITY: 10
concurrency:
group: ${{ github.workflow }}-${{ github.ref }}-${{ github.head_ref || github.run_id }}
cancel-in-progress: true
jobs:
ui-build:
name: Build static output
uses: ./.github/workflows/ui-build.yml
permissions:
actions: write
contents: read
ui-checks:
name: Checks
needs: ui-build
runs-on: ubuntu-24.04
continue-on-error: true
steps:
- name: Checkout code
uses: actions/checkout@v6
with:
fetch-depth: 0
ref: ${{ github.event.inputs.sha || github.event.pull_request.head.sha || github.sha || github.head_ref || github.ref_name }}
- name: Setup Node.js
id: node
uses: actions/setup-node@v6
with:
node-version: "24"
# cache: "npm"
# cache-dependency-path: "tools/ui/package-lock.json"
package-manager-cache: false
- name: Download built UI artifacts
uses: actions/download-artifact@v6
with:
name: llama-ui.zip
path: tools/ui/dist/
- name: Install dependencies
id: setup
if: ${{ steps.node.conclusion == 'success' }}
run: npm ci
working-directory: tools/ui
- name: Run type checking
if: ${{ always() && steps.setup.conclusion == 'success' }}
run: npm run check
working-directory: tools/ui
- name: Run linting
if: ${{ always() && steps.setup.conclusion == 'success' }}
run: npm run lint
working-directory: tools/ui
- name: Install Playwright browsers
id: playwright
if: ${{ always() && steps.setup.conclusion == 'success' }}
run: npx playwright install --with-deps
working-directory: tools/ui
- name: Run Client tests
if: ${{ always() && steps.playwright.conclusion == 'success' }}
run: npm run test:client
working-directory: tools/ui
- name: Run Unit tests (uses pre-built dist/ from ui-build)
if: ${{ always() && steps.playwright.conclusion == 'success' }}
run: npm run test:unit
working-directory: tools/ui
e2e-tests:
name: E2E Tests
needs: ui-build
runs-on: ubuntu-24.04
steps:
- name: Checkout code
uses: actions/checkout@v6
with:
fetch-depth: 0
ref: ${{ github.event.inputs.sha || github.event.pull_request.head.sha || github.sha || github.head_ref || github.ref_name }}
- name: Setup Node.js
id: node
uses: actions/setup-node@v6
with:
node-version: "24"
# cache: "npm"
# cache-dependency-path: "tools/ui/package-lock.json"
package-manager-cache: false
- name: Install dependencies
id: setup
if: ${{ steps.node.conclusion == 'success' }}
run: npm ci
working-directory: tools/ui
- name: Download built UI artifacts (reuses ui-build)
uses: actions/download-artifact@v6
with:
name: llama-ui.zip
path: tools/ui/dist/
- name: Install Playwright browsers
id: playwright
if: ${{ always() && steps.setup.conclusion == 'success' }}
run: npx playwright install --with-deps
working-directory: tools/ui
- name: Build Storybook
if: ${{ always() && steps.playwright.conclusion == 'success' }}
run: npm run build-storybook
working-directory: tools/ui
- name: Run UI tests
if: ${{ always() && steps.playwright.conclusion == 'success' }}
run: npm run test:ui -- --testTimeout=60000
working-directory: tools/ui
- name: Run E2E tests (uses pre-built dist/ from ui-build)
if: ${{ always() && steps.playwright.conclusion == 'success' }}
run: npm run test:e2e
working-directory: tools/ui
+48
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name: Update Operations Documentation
on:
push:
paths:
- '.github/workflows/update-ops-docs.yml'
- 'docs/ops.md'
- 'docs/ops/**'
- 'scripts/create_ops_docs.py'
pull_request:
paths:
- '.github/workflows/update-ops-docs.yml'
- 'docs/ops.md'
- 'docs/ops/**'
- 'scripts/create_ops_docs.py'
cache-mode: none
permissions:
contents: read
jobs:
update-ops-docs:
runs-on: ubuntu-slim
steps:
- name: Checkout repository
uses: actions/checkout@v6
- name: Set up Python
uses: actions/setup-python@v6
with:
python-version: '3.x'
- name: Generate operations documentation to temporary file
run: |
mkdir -p /tmp/ops_check
./scripts/create_ops_docs.py /tmp/ops_check/ops.md
- name: Check if docs/ops.md matches generated version
run: |
if ! diff -q docs/ops.md /tmp/ops_check/ops.md; then
echo "Operations documentation (docs/ops.md) is not up to date with the backend CSV files."
echo "To fix: run ./scripts/create_ops_docs.py and commit the updated docs/ops.md along with your changes"
echo "Differences found:"
diff docs/ops.md /tmp/ops_check/ops.md || true
exit 1
fi
echo "Operations documentation is up to date."
+52
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name: Update Winget Package
on:
workflow_dispatch: # allows manual triggering
schedule:
- cron: '28 5 * * *' # Update every day at 5:28 UTC
cache-mode: none
permissions:
contents: read
jobs:
update:
name: Update Winget Package
runs-on: ubuntu-24.04 # previously ubuntu-latest
if: github.repository_owner == 'ggml-org'
steps:
- name: Install cargo binstall
uses: cargo-bins/cargo-binstall@268643a6b5ea099f5718ee5cd3ff7dc89a5eb49b
- name: Install komac
run: |
cargo binstall komac@2.16.0 -y
# TODO: This should later be updated to publish releases instead of
# development release builds.
- name: Find latest release
id: find_latest_release
uses: actions/github-script@v8
with:
script: |
const { data: releases } = await github.rest.repos.listReleases({
owner: context.repo.owner,
repo: context.repo.repo,
});
const { tag_name: version, assets: assets } = releases.find(({assets}) => assets.find(asset => asset.name.includes('win-vulkan')));
const { browser_download_url: asset_url_x64 } = assets.find(asset => asset.name.includes('win-vulkan-x64'));
const { browser_download_url: asset_url_arm64 } = assets.find(asset => asset.name.includes('win-vulkan-arm64'));
console.log("Latest release:", version);
core.setOutput('VERSION', version);
core.setOutput('ASSETURL_X64', asset_url_x64);
core.setOutput('ASSETURL_ARM64', asset_url_arm64);
- name: Update manifest
run: |
echo "Updating manifest..."
komac update --version ${{ steps.find_latest_release.outputs.VERSION }} \
--urls "${{ steps.find_latest_release.outputs.ASSETURL_X64 }}" "${{ steps.find_latest_release.outputs.ASSETURL_ARM64 }}" \
--token ${{ secrets.WINGET_GITHUB_TOKEN }} \
--submit \
ggml.llamacpp