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Jeff – Jev-compatible 0.8B decision models, trained at home, ~30 ms

575 points · 225 comments · firelex

  1. AgentMasterRace · · focus · HN ↗
    I compared it to Jev in my current use cases and it's very inaccurate. 70% vs 94% . for classification, it's unacceptable.
    1. Oras · · focus · HN ↗
      My use case is simple classification for job ads. Things like, industry, work settings (remote, hybrid, onsite) and job type (full time, part time .. etc).

      I did side by side comparison with Gemini 2.5 Flash Lite, Jev, Jeff

      I tried the 0.8B model, completely useless in classification. Qwen Jeff-Qwen3.5-2B was better, but still missed job type.

      I suppose with larger model, this could be useful, but would require more ram and will be slower.

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