Yes/no decisions on a laptop CPU in 25–110 ms: jev, one binary for Windows, Linux and macOS, with jevos-v2 at 8-bit weights. 80.3% on 999 hand-written yes/no questions, 0.810 on 2,000 questions from unseen policies.
Download the archive for your system and the model, and unpack the model into the jev folder:
tar -xzf jev-linux-x64.tar.gz # Windows: unzip jev-windows-x64.zip
cd jev
unzip ../jevos-v2-openvino-int8.zip # creates model/
./jev serve # Windows: jev.exe serve| File | What it is |
|---|---|
jev-windows-x64.zip, jev-linux-x64.tar.gz (glibc 2.35+), jev-macos-arm64.tar.gz |
the jev binary with OpenVINO's libraries and the licenses |
jevos-v2-openvino-int8.zip |
the model jev runs, as model/ |
jevos-v2-q4_k_m.gguf, jevos-v2-q8_0.gguf |
the same model as GGUF, for llama.cpp and the tools built on it |
jevos-dino.mp4 |
the recording of jevos playing a Dino-style game |
SHA256SUMS.txt |
the SHA-256 of every file here |
The API, options and numbers are in the README.