SKILL

optimization-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.

Target: Learning & research. Automatically collected · unverified.

Use with Claude Code

A guide for this combination is not available yet, and compatibility has not been verified.

Requirements

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