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.
| Field | Value |
|---|---|
| Owner | Orchestra-Research |
| Curator | Thomas Cherickal |
| Source | Orchestra-Research/AI-Research-SKILLs |
| Repo stars | 14,542 |
| License | MIT |
| Repo last push | 2026-10-11 |
Links
- Roles: local-ai-engineer
- Source repo: Orchestra-Research/AI-Research-SKILLs
- Same repo: axolotl, deepspeed, distributed-llm-pretraining-torchtitan, fine-tuning-openvla-oft, fine-tuning-serving-openpi, awq-quantization, gguf-quantization, gptq
- Registry seed skills for this role: local-ai-engineer seed skills