bitsandbytes-quantization
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.
- License
- MIT
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Files
- skills/bitsandbytes-quantization/SKILL.md
- skills/bitsandbytes-quantization/references/full-guide.md
- skills/bitsandbytes-quantization/references/memory-optimization.md
- skills/bitsandbytes-quantization/references/qlora-training.md
- skills/bitsandbytes-quantization/references/quantization-formats.md
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