Repo · Benchmarks & research
gutsy
A 0.8B local decision model on an ordinary CPU.
Open github.com ↗From the repository
Local decision model with calibrated probabilities: send a state and yes/no, choice or score questions, get a probability for every option. 0.8B GGUF on CPU, Jev-style API.
agentsclassifiercontent-moderationcpu-inferencedecision-modelggufintent-classificationjevjev-compatiblellama-cppllmllm-judgelocal-llmpythonqwenroutingsmall-language-modelstool-selection
How builders describe it
Local calibrated decision model (gutsy-0.8b) with Jev-style /v1/systemone and Decisions APIs on CPU via llama.cpp (independent of hosted Jev).
An Apache-2.0 0.8B decision model that returns calibrated probabilities for yes/no, choice and score questions on CPU. Distributed as GGUF for llama.cpp and served behind a Jev-style /v1/systemone API, so existing Jev clients mostly need only a new base URL.
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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