david-g-3654/homebench
Benchmark your local LLMs: speed, memory, and quality, in one command. TUI leaderboard for Ollama, LM Studio, llama.cpp, and vLLM.
- Stars
- 58
- Forks
- 3
- Open issues
- 0
- Last push
- 2mo ago
homebench star history
+0 this week
About homebench
homebench is a free, open-source LLM chat app by david-g-3654, written mainly in Python. Benchmark your local LLMs: speed, memory, and quality, in one command. TUI leaderboard for Ollama, LM Studio, llama.cpp, and vLLM. It has 58 GitHub stars and 3 forks, and was last updated 2mo ago. It's released under the MIT license, a standard open-source license. According to the project, it works on macOS.
- License
- MIT
- Commercial use
- Commercial OK
- Language
- Python
- Stars
- 58
- Last update
- 2mo ago
- Runs on Mac
- Yes (as stated by the project)
- GPU
- Not stated
- Paid API key
- Not required
- Self-hostable
- Yes
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homebench FAQ
Can I use homebench commercially?
Yes. MIT is a permissive license: commercial use is allowed as long as you keep the license notice. This is a plain-English summary, not legal advice.
Is homebench free?
Yes. homebench is open source and free to use. It's released under the MIT license, a standard open-source license.
Does homebench run on a Mac?
Yes. According to the project, homebench works on macOS.
Does homebench need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is homebench still maintained?
It was last updated 2mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to homebench?
Similar free, open-source tools include ollama, Vane, chinese-llm-benchmark, open-webui.
Maintain homebench?
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