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.TH HF_TO_NVFP4_SAFETENSORS 1 "November 2026" "nvfp4_gguf_quant" "User Commands"
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.SH NAME
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hf_to_nvfp4_safetensors \- quantize a Hugging Face directory to a ComfyUI NVFP4 safetensors file
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.SH SYNOPSIS
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.B hf_to_nvfp4_safetensors
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[\fB\-o\fR \fIOUTPUT\fR]
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[\fB\-\-overwrite\fR]
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[\fB\-\-output\-dtype\fR \fIDTYPE\fR]
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[\fB\-\-low\-memory\fR]
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[\fB\-\-heur\fR]
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[\fB\-\-exclude\-layers\fR \fIREGEX\fR]
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[\fB\-\-convert\-to\-quant\fR \fIPATH\fR]
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[\fB\-\-simple\fR]
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[\fB\-\-optimizer\fR \fIOPT\fR]
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[\fB\-\-num\-iter\fR \fIN\fR]
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[\fB\-\-lr\fR \fILR\fR]
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[\fB\-\-lr\-min\fR \fIMIN\fR]
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[\fB\-\-lr\-patience\fR \fIN\fR]
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[\fB\-\-lr\-schedule\fR \fISCHED\fR]
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[\fB\-\-scale\-optimization\fR \fIMODE\fR]
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[\fB\-\-scale\-refinement\-rounds\fR \fIN\fR]
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[\fB\-\-full\-matrix\fR]
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[\fB\-\-top\-p\fR \fIP\fR]
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[\fB\-\-min\-k\fR \fIK\fR]
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[\fB\-\-max\-k\fR \fIK\fR]
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[\fB\-\-early\-stop\-loss\fR \fILOSS\fR]
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[\fB\-\-early\-stop\-stall\fR \fISTALL\fR]
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[\fB\-\-calib\-samples\fR \fISAMPLES\fR]
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[\fB\-\-seed\fR \fISEED\fR]
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[\fB\-\-use\-speed\fR]
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[\fB\-\-verbose\fR]
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[\fB\-h\fR|\fB\-\-help\fR]
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\fImodel\fR
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.SH DESCRIPTION
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.B hf_to_nvfp4_safetensors
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quantizes a Hugging Face model directory (\fIconfig.json\fR and sharded \fI.safetensors\fR files)
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into a single consolidated \fI.safetensors\fR file formatted for ComfyUI's native NVFP4 loader.
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.PP
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For each quantized weight matrix, the script outputs packed NVFP4 bytes alongside
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companion scaling tensors:
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.IP \(bu 2
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\fI<name>.weight\fR (packed NVFP4 data, two 4-bit values per byte)
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.IP \(bu 2
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\fI<name>.weight_scale\fR (per-block E4M3 scale factors)
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.IP \(bu 2
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\fI<name>.weight_scale_2\fR (per-tensor scale factor)
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.IP \(bu 2
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\fI<name>.comfy_quant\fR (metadata tensor specifying quantization type)
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.PP
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A unified \fI_quantization_metadata\fR header is embedded in the output safetensors header.
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When the source model is split across multiple shards, each shard is quantized in a temporary
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workspace and then efficiently merged into the final single output file.
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.PP
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Normalization layers, embeddings, biases, and layers matching \fB\-\-exclude\-layers\fR
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remain in the target float format (controlled by \fB\-\-output\-dtype\fR).
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.SH POSITIONAL ARGUMENTS
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.TP
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.I model
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Hugging Face model directory containing \fIconfig.json\fR and \fI.safetensors\fR weights.
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.SH OPTIONS
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.SS Output & Memory Control
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.TP
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.BI \-o " " OUTPUT ", " \-\-output " " OUTPUT
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Output \fI.safetensors\fR file path (default: \fI./<model-name>-NVFP4.safetensors\fR).
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.TP
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.B \-\-overwrite
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Overwrite an existing output file without prompting.
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.TP
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.BI \-\-output\-dtype " " {bfloat16,float16}
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Data type recorded for quantized layer scales and used for unquantized 2D weights (default: \fBbfloat16\fR).
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.TP
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.B \-\-low\-memory
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Stream each shard sequentially through quantization rather than loading the entire model shard into RAM at once.
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.TP
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.B \-\-heur
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Skip layers that convert_to_quant's built-in size heuristic rejects.
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.TP
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.BI \-\-exclude\-layers " " REGEX
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Regular expression matching layer or tensor names to leave unquantized in float format.
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.SS Quantization & Optimization
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.TP
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.B \-\-simple
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Round onto the E2M1 grid directly without iterative learned rounding.
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.TP
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.BI \-\-optimizer " " {auto,prodigy,adamw,radam,original}
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Learned-rounding optimizer. \fBauto\fR uses Prodigy when installed, otherwise AdamW (default: \fBauto\fR).
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.TP
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.BI \-\-num\-iter " " N
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Learned-rounding iterations per matrix (default: 4000).
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.TP
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.BI \-\-lr " " LR
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Initial learning rate (default: 1.0).
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.TP
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.BI \-\-lr\-min " " MIN
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Lowest learning rate floor (default: 1e-8).
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.TP
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.BI \-\-lr\-patience " " N
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Patience steps before decaying learning rate (default: 5).
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.TP
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.BI \-\-lr\-schedule " " {plateau,exponential,adaptive}
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Learning rate decay schedule (default: \fBplateau\fR).
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.TP
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.BI \-\-scale\-optimization " " {fixed,iterative,joint}
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Scale tuning strategy: \fBfixed\fR, \fBiterative\fR, or \fBjoint\fR (default: \fBjoint\fR).
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.TP
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.BI \-\-scale\-refinement\-rounds " " N
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Scale refresh iterations when using iterative scale optimization (default: 2).
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.TP
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.B \-\-full\-matrix
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Use full SVD instead of low-rank SVD.
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.TP
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.BI \-\-top\-p " " P ", " \-\-min\-k " " K ", " \-\-max\-k " " K
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Singular value decomposition rank selection bounds.
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.TP
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.BI \-\-early\-stop\-loss " " LOSS
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Early stopping loss target (default: 5e-9).
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.TP
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.BI \-\-early\-stop\-stall " " STALL
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Stop after this many steps without loss improvement (default: 2000).
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.TP
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.BI \-\-calib\-samples " " SAMPLES
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Random Gaussian calibration inputs for bias correction (default: 3072).
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.TP
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.BI \-\-seed " " SEED
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Random seed (default: 42).
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.TP
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.B \-\-use\-speed
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Enable Prodigy optimizer's \fIuse_speed\fR mode.
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.SS System & Execution
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.TP
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.BI \-\-convert\-to\-quant " " PATH
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Path to local convert_to_quant repository checkout.
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.TP
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.B \-\-verbose
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Enable verbose output during shard quantization and merge.
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.SH EXAMPLES
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.TP
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.B Quantize a model directory into a ComfyUI NVFP4 safetensors file:
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.RS
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.nf
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hf_to_nvfp4_safetensors -o gemma-4-12B-it-NVFP4.safetensors ./gemma-4-12B-it
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.fi
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.RE
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.TP
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.B Low-memory streaming mode with float16 weights:
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.RS
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.nf
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hf_to_nvfp4_safetensors --low-memory --output-dtype float16 -o ./model-nvfp4.safetensors ./model
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.fi
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.RE
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.TP
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.B Exclude specific projection layers:
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.RS
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.nf
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hf_to_nvfp4_safetensors --exclude-layers ".*gate_proj.*" -o ./model-nvfp4.safetensors ./model
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.fi
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.RE
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.SH EXIT STATUS
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.TP
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.B 0
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Success.
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.TP
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.B 1
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An error occurred during quantization or shard merging.
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.SH SEE ALSO
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.BR safetensors_to_nvfp4_gguf (1),
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.BR hf_to_nvfp4_gguf (1),
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.BR hf_info (1)
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