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…takes the model named after its tag jevos-v3 (weight average of three new runs and jevos-v2), measured through jev (OpenVINO INT8): 999 0.808 (jevos-v2 0.803), 821 0.865 (0.831), choice 0.788 (0.788), score 0.565 (0.543), everyday score 0.611 (0.553). Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
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The model of release jevos-v3: README numbers, CI checks against the jevos-v3 model, and the release workflow downloads the model asset named after the release tag (
<tag>-openvino-int8.zip) instead of a fixed jevos-v2 file.jevos-v3 is the uniform weight average of three new LoRA runs on the 17-layer base (a mix that adds natural questions, choice and score rows in the form jev asks them, and more procedural arithmetic) and jevos-v2. Same architecture, size and speed.
Measured through
jev(OpenVINO INT8):🤖 Generated with Claude Code