DingoOz/llm-visuals
Live truecolor terminal dashboard for a locally running LLM: tok/s, TTFT, GPUs, context, MTP acceptance, layer and real expert routing (llama.cpp)
- Stars
- 151
- Forks
- 23
- Open issues
- 0
- Last push
- 2d ago
llm-visuals star history
+1 this week
About llm-visuals
llm-visuals is a free, open-source AI inference tool by DingoOz, written mainly in Rust. Live truecolor terminal dashboard for a locally running LLM: tok/s, TTFT, GPUs, context, MTP acceptance, layer and real expert routing (llama.cpp). It has 151 GitHub stars and 23 forks, and was last updated 2d 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
- Rust
- Stars
- 151
- Last update
- 2d 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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llm-visuals FAQ
Can I use llm-visuals 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 llm-visuals free?
Yes. llm-visuals is open source and free to use. It's released under the MIT license, a standard open-source license.
Does llm-visuals run on a Mac?
Yes. According to the project, llm-visuals works on macOS.
Does llm-visuals need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is llm-visuals still maintained?
Yes. It was last updated 2d ago and has 0 open issues on GitHub.
What are alternatives to llm-visuals?
Similar free, open-source tools include llama.cpp, llm-action, ai-infra-book, mlc-llm.
Maintain llm-visuals?
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