firelex/jeff
Millisecond decisions, any domain: a 0.8B open "System 1" model that picks between your options with calibrated probabilities. One base, swappable LoRA adapters, on your own hardware.
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From the publisher
README & documentation
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Jeff A new software primitive. Turn decisions into ordinary function calls. Import an adapter, pass in unstructured data, and get a typed result with calibrated confidence. Run locally or through our API, in milliseconds. jeffhub.ai · Docs · Hugging Face · Catalogue · Quick start Jeff is a library of decision functions. Each function answers one narrow question, such as "is this text trying to take control of the AI model that reads it?", in milliseconds. It returns a typed Decision with a calibrated confidence, and it abstains when that confidence is too low to act on. You can run a function on your own machine, or call it through the hosted API at jeffhub.ai. Python 3.13 or later for Python; the other SDKs need no Python: Local mode in Node, Rust, C# and Java starts the engine itself through uv, on a Mac with Apple silicon or on Linux…
Read the full README ↗ · Preview checked 2026-11-10T21:56:41.770Z
Inside the original README — Document outline
- Quick start
- Install
- One decision on your machine
- The same call through the API
- SDKs
- Repository layout
- Working on Jeff itself
- Learn more
- Licence
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What this repository does
Millisecond decisions, any domain: a 0.8B open "System 1" model that picks between your options with calibrated probabilities. One base, swappable LoRA adapters, on your own hardware.
Repository facts
- Owner
- firelex
- Primary language
- Python
- Stars
- 1,518
- Forks
- 75
- Open issues + pull requests
- 2
- License
- MIT
- Archived
- No
- Default branch
- main
- Created
- 2026-09-28T16:18:39.000Z
- Last push
- 2026-10-07T12:39:50.000Z
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Source and freshness
Source: GitHub. Metadata observed 2026-10-13T12:09:02.733Z. Daily imports are snapshots, not real-time monitoring.
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