Repo · Benchmarks & research
Jeff (firelex)
Jeff: an open 0.8B "System 1" decision model (MIT code, Apache-2.0 weights on Hugging Face) that uses the same request format as Jev, with swappable…
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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.
How builders describe it
Jeff: an open 0.8B "System 1" decision model (MIT code, Apache-2.0 weights on Hugging Face) that uses the same request format as Jev, with swappable LoRA adapters (guard, triage, tools, grounding, spam…), GGUF files for llama.cpp, and Jeff-Code; independent and not affiliated with TypeSafe.
A 0.8B decision model that answers first and escalates only when unsure, plus nine LoRA adapters of roughly 41 MB each for guard, triage, tool choice, spam, and similar classification work.
The decision Jev makes
Benchmark questions with known answers, to check accuracy and confidence.
Where it fits
Head-to-head tests, calibration studies and independent research into how well Jev decides, how fast, and at what cost. All 682 benchmarks & research projects →
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