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/ – training / evaluation code (MM-Jev architecture: option tree in one pass, KV-share truncation, modality exit + latent memory, sibling bridge, MatFormer width slicing) run/ – pipeline log, results.json, checkpoints (LoRA + decision heads + latents) Base model: google/gemma-3n-E4B-it (Gemma terms of use apply to derivatives).
Independent publisher
Fnruha0921
fnruha0921
Interested in diffusion-based LLMs, lightweight models (SLMs), TTS, and custom dataset development
Models in Library1
Datasets in Library0
Models on Hugging Face11
Followers2
Compare the published evidence
This profile connects the 1 model and dataset record shown below to their upstream cards and sources. The library counts describe SAVRN's coverage, rather than this publisher's entire output.
Compare model specifications, source dates, and hardware estimates on the individual records. Publisher identity verification is separate from a model's quality, deployment readiness, or suitability for your work.