Jeff – Jev-compatible 0.8B decision models, trained at home, ~30 ms
Trending on Hacker News: Jeff – Jev-compatible 0.8B decision models, trained at home, ~30 ms (91 points / 8 comments, via github.com)
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Fine-tunes of Qwen3.5 and Gemma 4 for zero-shot classification - firelex/jeff
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You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert {{ message }} firelex / jeff Public Notifications You must be signed in to change notification settings Fork 4 Star 72 main Branches Tags Go to file Code Open more actions menu Latest commit History 6 Commits 6 Commits Folders and files Name Name Last commit message Last commit date assets assets docs docs scripts scripts src/ jeff src/ jeff tests tests videos videos .gitattributes .gitattributes .gitignore .gitignore LICENSE LICENSE README.md README.md pyproject.toml pyproject.toml uv.lock uv.lock View all files Repository files navigation Jeff Fine-tunes of Qwen3.5 and Gemma 4 for zero-shot classification: small, fast decision models you slot into your code, with the same request format as Jev. You describe a situation and list the options in plain words; Jeff returns a calibrated probability for each option from a single forward pass.
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