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[GitHub Trending] lyogavin/airllm

8 relevance
Score Breakdown
technical depth
9
novelty
7
actionability
8
community
7
strategic
7
personal
9

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AirLLM enables large model inference on limited hardware, technically deep and actionable.

AI/ML github.com
AirLLM 70B inference with single 4GB GPU. Contribute to lyogavin/airllm development by creating an account on GitHub.
Summary

AirLLM enables inference of massive LLMs (e.g., 70B on 4GB, 405B Llama 3.1 on 8GB, DeepSeek-V3 671B on ~12GB) without quantization/distillation/pruning, using layer-wise decomposition and optional block-wise quantization for up to 3x speedup. Its v3.0 adds FP8 support and an AutoModel API that auto-detects model type, supporting Qwen3, Llama 4, DeepSeek V3, and others with minimal code changes.

Author

lyogavin