quantizing-models-bitsandbytes
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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quantizing-models-bitsandbytes1 files
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Install this skill with one command
/learn @majiayu000/bitsandbytesGitHub Stars 80
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Categorydevelopment
UpdatedFebruary 16, 2026
majiayu000/claude-skill-registry