Jan-nano, a 4B model that can outperform DeepSeek 671B on certain metrics using MCP (lemmygrad.ml)

submitted 2 weeks ago by yogthos@lemmygrad.ml to c/technology@hexbear.net

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cross-posted from: https://lemmygrad.ml/post/8207089

Jan-nano is a model fine-tuned with DAPO on Qwen3-4B. Jan-nano comes with some unique capabilities:

It can perform deep research (with the right prompting)
It picks up relevant information effectively from search results
It uses tools efficiently

The model was evaluated using SimpleQA - a relatively straightforward benchmark to test whether the model can find and extract the right answers.

Jan-nano outperforms Deepseek-671B on this metric, using an agentic and tool-usage-based approach. A 4B model obviously has its limitations, but it's interesting to see how far these things can be pushed. Jan-nano can serve as your self-hosted Perplexity alternative on a budget.

You can find the model at: https://huggingface.co/Menlo/Jan-nano

And a gguf is available at: https://huggingface.co/Menlo/Jan-nano-gguf

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this post was submitted on 15 Jun 2025

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