home/categories/machine-learning/orchestra-research-ai-research-skills-10-optimization-bitsandbytes-skill-md
machine-learningdata-ai
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.
maintainer
Orchestra-Research
更新于 11/20/2025
星标
6563
分支
515
quick start
Installation and usage
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.
安装
$ install --globalskills.sh
使用
安装后,您可以通过在终端运行以下命令来使用此技能:
skills use quantizing-models-bitsandbytes