lucienhuangfu/eLLM
eLLM: Run Long-Horizon Inference Faster on CPUs Than on GPUs
- Stars
- 595
- Forks
- 56
- Open issues
- 2
- Last push
- today
About eLLM
eLLM is a free, open-source AI inference tool by lucienhuangfu, written mainly in Rust. eLLM: Run Long-Horizon Inference Faster on CPUs Than on GPUs. It has 595 GitHub stars and 56 forks, and was last updated today. It's released under the AGPL-3.0 license, a standard open-source license. According to the project, it runs on a regular CPU without a GPU.
- License
- AGPL-3.0
- Language
- Rust
- Stars
- 595
- Last update
- today
- Runs on Mac
- Not stated
- GPU
- Not needed (runs on CPU)
- Paid API key
- Not required
- Self-hostable
- Not stated
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eLLM FAQ
Is eLLM free?
Yes. eLLM is open source and free to use. It's released under the AGPL-3.0 license, a standard open-source license.
Does eLLM run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does eLLM need a GPU?
No. According to the project, eLLM runs on a regular CPU.
Is eLLM still maintained?
Yes. It was last updated today and has 2 open issues on GitHub.
What are alternatives to eLLM?
Similar free, open-source tools include kimi-k3-in-c, llm-action, vllm, TensorRT-LLM.