Gptq
orchestra-research/ai-research-skills/10-optimization/gptqby orchestra-research773a52944ba4MIT13K starsListed Oct 8, 2026Updated Oct 8, 2026Repository updated 3 months ago
Post-training 4-bit quantization for LLMs with minimal accuracy loss. Use for deploying large models (70B, 405B) on consumer GPUs, when you need 4× memory reduction with <2% perplexity degradation, or for faster inference (3-4× speedup) vs FP16. Integrates with transformers and PEFT for QLoRA fine-tuning.
Only the file list is public. File contents are available once the skill is installed in a workspace.
| Path | Size | Type |
|---|---|---|
| references/calibration.md | 8 KB | text/markdown |
| references/integration.md | 2.7 KB | text/markdown |
| references/troubleshooting.md | 1.9 KB | text/markdown |
| SKILL.md | 11.3 KB | text/markdown |
Source and attribution
Source:orchestra-research/ai-research-skillsin10-optimization/gptqat commit773a529
License: MIT
Content belongs to its original authors. SourceWeft indexes it from a public repository.
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