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omnijev-work β training workspace (work in progress)
Code, logs, results and training checkpoints of OmniJev / MM-Jev: Jev-style typed decisions
(noul / choice / score) on Gemma 3n E4B with text, image, audio and video states.
This is a scratch workspace synced by the training job; the finished model is published separately.
code/β training / evaluation code (MM-Jev architecture: option tree in one pass, KV-share truncation, modality exit + latent memory, sibling bridge, MatFormer width slicing)run/β pipeline log, results.json, checkpoints (LoRA + decision heads + latents)
Base model: google/gemma-3n-E4B-it (Gemma terms of use apply to derivatives).
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