awq-quantization

SKILLFlujo de trabajocomunidad
v0.0.0Orchestra-ResearchMITActualizado hace 2 mFuente →

Activation-aware weight quantization for 4-bit LLM compression with 3x speedup and minimal accuracy loss. Use when deploying large models (7B-70B) on limited GPU memory, when you need faster inference than GPTQ with better accuracy preservation, or for instruction-tuned and multimodal models. MLSys

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Skill
AutorOrchestra-Research
Versión0.0.0
LicenciaMIT
CategoríaFlujo de trabajo
Formatosskill.md
PromptAbrir (ver la pestaña Prompt)
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Claude✓ Compatible
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Activation-aware weight quantization for 4-bit LLM compression with 3x speedup and minimal accuracy loss. Use when deploying large models (7B-70B) on limited GPU memory, when you need faster inference than GPTQ with better accuracy preservation, or for instruction-tuned and multimodal models. MLSys 2024 Best Paper Award winner.

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