inference/research
verifiedhigh · 0.88updated 2026-10-03

LLM-QAT: Data-Free Quantization Aware Training for Large Language Models (Frantar et al., NVIDIA)

paper

Fields

id
sources/qlab-llm-qat-paper
Publisher
arXiv
Kind
paper
Published
2023-05-29
Accessed
2026-10-03
notes
Single version. Distillation target is the pretrained model's own generations, hence 'data-free'.

Notes

Single version. Distillation target is the pretrained model's own generations, hence 'data-free'.

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