Quantizes LLMs to 8-bit or 4-bit for 50-75% memory reduction with minimal accuracy loss.
Part of AI Research Skills (Orchestra)Pack · 98 skills
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Quantizes LLMs to 8-bit or 4-bit for 50-75% memory reduction with minimal accuracy loss. Use when GPU memory is limited, need to fit larger models, or want faster inference. Supports INT8, NF4, FP4 formats, QLoRA training, and 8-bit optimizers. Works with HuggingFace Transformers.
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npx -y degit Orchestra-Research/AI-Research-SKILLs/10-optimization/bitsandbytes ~/.copilot/skills/quantizing-models-bitsandbytes
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npx -y degit Orchestra-Research/AI-Research-SKILLs/10-optimization/bitsandbytes ~/.cursor/skills/quantizing-models-bitsandbytes
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npx -y degit Orchestra-Research/AI-Research-SKILLs/10-optimization/bitsandbytes ~/.claude/skills/quantizing-models-bitsandbytes
/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/bitsandbytes ~/.agents/skills/quantizing-models-bitsandbytes
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npx -y degit Orchestra-Research/AI-Research-SKILLs/10-optimization/bitsandbytes ~/.gemini/skills/quantizing-models-bitsandbytes
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npx -y degit Orchestra-Research/AI-Research-SKILLs/10-optimization/bitsandbytes ~/.hermes/skills/quantizing-models-bitsandbytes
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The .NET team's skill for picking the right AI or ML stack in .NET 8+ apps, from ML.NET to Microsoft.Extensions.AI and Agent Framework.
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