awq-quantization

github:zechenzhangAGI/AI-research-SKILLs · first committed 2025-11-25 · source · badge

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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Listed, not yet scored. This skill has no public model test yet. It is in the scoring queue; submitted skills go first, then the most-installed.

Version history

1 commit to this file on GitHub (newest first).

2025-11-25 · commit 80f9c1f · Add 5 high-priority skills: PEFT, CrewAI, Qdrant, AWQ, LangSmith

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