Post-training 4-bit quantization for LLMs with minimal accuracy loss.
Part of AI Research Skills (Orchestra)Pack · 98 skills
by Orchestra-Research· AI & agentsUnclaimed · Yours? Claim it
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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.
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/plugin marketplace add Orchestra-Research/AI-Research-SKILLs /plugin install rag@ai-research-skills
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npx -y degit Orchestra-Research/AI-Research-SKILLs/10-optimization/gptq ~/.agents/skills/gptq
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