- Category
- AI Tools
- Type
- APP
- Builder
- lyogavin
- GitHub
- 24.4k stars
- Added
- Jun 16, 2026
About
A library that runs 70B-parameter LLM inference on a single 4GB GPU through aggressive layer-by-layer memory management.
Why it made the leaderboard
AirLLM offers a genuinely differentiated approach to running large language models by optimizing inference memory usage without traditional compression techniques like quantization. Running 70B models on 4GB GPU or 405B models on 8GB represents a meaningful technical achievement that fills a specific gap in the ecosystem, distinct from existing tools like llama.cpp or Ollama which use different optimization strategies.
Tech Stack
Python
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