Jan-nano Technical Report

Alan Dao, Dinh Bach Vu

Jan-nano Technical Report: 9 upvotes on Hugging Face Daily Papers, #16 of 25 papers on 2025-06-30. Day-by-day upvote history.

Most language models face a fundamental tradeoff where powerful capabilities require substantial computational resources. We shatter this constraint with Jan-nano, a 4B parameter language model that redefines efficiency through radical specialization: instead of trying to know everything, it masters the art of finding anything instantly. Fine-tuned from Qwen3-4B using our novel multi-stage RLVR system that completely eliminates reliance on next token prediction training (SFT), Jan-nano achieves 83.2% on SimpleQA benchmark with MCP integration while running on consumer hardware. With 128K context length, Jan-nano proves that intelligence isn't about scale, it's about strategy.

Paper page on Hugging Face · arXiv

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