Individual skill
awq-quantization
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.
tests/ext_conformance/artifacts/templates-davila7/cli-tool/components/skills/ai-research/optimization-awq/SKILL.md
Source commit a177737d6df6a543d21d3b7ee6163ec715d24aa8
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- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
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- Skill scan complete
- No
- Observed behavior
- Not checked yet
- Last checked
- Nov 8, 2026
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Repository context
- Repository stars (not skill ratings)
- 1,971
- Repository last updated
- Nov 7, 2026
- License
- NOASSERTION
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- ai-agents Repository topic
- cli Repository topic
- developer-tools Repository topic
- rust Repository topic
- optimization Declared skill tag
- awq Declared skill tag
- quantization Declared skill tag
- 4-bit Declared skill tag
- activation-aware Declared skill tag
- memory-optimization Declared skill tag
- fast-inference Declared skill tag
- vllm-integration Declared skill tag
- marlin-kernels Declared skill tag
- research Derived category
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SKILL.mdcore · 8,383 bytesSKILL.mdcore · 8,383 bytesSKILL.mdcore · 8,383 bytesSKILL.mdcore · 8,383 bytesSKILL.mdcore · 8,383 bytesSKILL.mdcore · 8,383 bytesSKILL.mdcore · 8,383 bytesSKILL.mdcore · 8,383 bytesSKILL.mdcore · 8,383 bytesSKILL.mdcore · 8,383 bytesSKILL.mdcore · 8,383 bytesSKILL.mdcore · 8,383 bytesSKILL.mdcore · 8,383 bytesSKILL.mdcore · 8,383 bytesSKILL.mdcore · 8,383 bytesSKILL.mdcore · 8,383 bytesreferences/advanced-usage.mddoc · 7,983 bytesreferences/troubleshooting.mddoc · 7,733 bytes
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