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zefie committed 2026-11-01 16:31:33 -05:00
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"""Shared NVFP4 quantization used by the GGUF scripts in this project."""
from .quant import (
CTQ_NUM_ITER,
DEFAULT_CONVERT_TO_QUANT,
DEFAULT_LLAMA_CPP,
DEFAULT_EARLY_STOP_FLOOR_STALL,
DEFAULT_TARGET_LOSS,
DEFAULT_EARLY_STOP_STALL,
DEFAULT_SCALE_OPTIMIZATION,
DEFAULT_SCALE_REFINEMENT_ROUNDS,
QUANT_VERSION,
ShapeView,
TensorQuantizer,
add_quant_arguments,
bind_exclude,
ctq_skips_key,
eligible_weight,
ensure_cuda_interpreter,
import_gguf,
load_gguf_modules,
load_learned_converter,
looks_like_spark,
check_scale_policy,
must_bake_nvfp4_scale,
mtp_layer_tensor,
bake_packed_nvfp4,
pack_nvfp4,
preserve_scale_tensor,
quant_profile,
quant_settings,
quantize_and_pack,
report_reconstruction,
require_quant_settings,
resolve_optimizer,
scale_bake_notice,
ue4m3_bits,
)
__all__ = [
"CTQ_NUM_ITER",
"DEFAULT_CONVERT_TO_QUANT",
"DEFAULT_LLAMA_CPP",
"DEFAULT_EARLY_STOP_FLOOR_STALL",
"DEFAULT_TARGET_LOSS",
"DEFAULT_EARLY_STOP_STALL",
"DEFAULT_SCALE_OPTIMIZATION",
"DEFAULT_SCALE_REFINEMENT_ROUNDS",
"QUANT_VERSION",
"ShapeView",
"TensorQuantizer",
"add_quant_arguments",
"bind_exclude",
"ctq_skips_key",
"eligible_weight",
"ensure_cuda_interpreter",
"import_gguf",
"load_gguf_modules",
"load_learned_converter",
"looks_like_spark",
"check_scale_policy",
"must_bake_nvfp4_scale",
"mtp_layer_tensor",
"bake_packed_nvfp4",
"pack_nvfp4",
"preserve_scale_tensor",
"quant_profile",
"quant_settings",
"quantize_and_pack",
"report_reconstruction",
"require_quant_settings",
"resolve_optimizer",
"scale_bake_notice",
"ue4m3_bits",
]