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I really really like @jandotai
It's a very friendly app to locally run LLMs, great for privacy
I've tried others like LM Studio and Ollama and they're nice but very engineer-built, a bit too difficult for me
Jan is simple and cute and pretty and a great alternative to talk to without sending your data (and secrets ;)) to big AI providers
You can even run remote provider models too via API, if you do want that!
Also they're very responsive to feedback and always improving the app
I think there is space for both locally run LLM apps and cloud LLM apps, locally run makes sense if you wanna talk about very private stuff, therapy etc. It's really important people can have that without fearing your data might leak in the future
(I'm not affiliated or paid, just really like it!)




12.8. klo 15.55
Introducing Jan-v1: 4B model for web search, an open-source alternative to Perplexity Pro.
In our evals, Jan v1 delivers 91% SimpleQA accuracy, slightly outperforming Perplexity Pro while running fully locally.
Use cases:
- Web search
- Deep Research
Built on the new version of Qwen's Qwen3-4B-Thinking (up to 256k context length), fine-tuned for reasoning and tool use in Jan.
You can run the model in Jan, llama.cpp, or vLLM. To enable search in Jan, go to Settings → Experimental Features → On, then Settings → MCP Servers → enable a search-related MCP such as Serper.
Use the model:
- Jan-v1-4B:
- Jan-v1-4B-GGUF:
Credit to the @Alibaba_Qwen team for Qwen3 4B Thinking & @ggerganov for llama.cpp.
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