ZhiLight
A highly optimized LLM inference acceleration engine for Llama and its variants.
ZhiLight is an open-source local AI project on GitHub under the Apache-2.0 license (permissive), with 906 stars. It is built with LLVM project, PyTorch, NumPy and Transformers. Its last push was 8 months ago.
- Stars
- 906
- License
- Apache-2.0
- Activity
- Slowing
- Latest release
- v0.4.8
Judgement
- What it is
- Building block
- What it does
- An LLM inference engine from Zhihu and ModelBest optimised for Llama-style models and DeepSeek on PCIe GPUs, with an OpenAI-compatible server.
- Adopt it when
- You run Llama or DeepSeek models on PCIe consumer or data-centre GPUs and want to benchmark against vLLM.
- Watch out
- Pushes stopped in March 2026, and model coverage is narrower than mainstream engines.
- Ready for
- Experimental
- Runs as
- Self-hosted server and library
- Built with
- C++, CUDA, Python, PyTorch and FastAPI
- How established
- Young: started 23 months ago, latest release v0.4.8.
- What the license allows
- You can build it into a product you sell, as long as you keep its copyright notice.
Judged on 2026-11-03 from the project's README and GitHub data. The license and age lines are worked out directly.
Built from
Follow it down: ZhiLight → LLVM project → runs on a microchip
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Stars, license and activity come from GitHub and refresh on a rolling hourly schedule. The project's own description is quoted as written.