akhilaaa3/Jev-Omni — new model trending #30 on Hugging Face
Jev-Omni, a 12B Gemma 4 multimodal decision classifier, is trending on Hugging Face.
Independent developer akhilaaa3 released Jev-Omni, an Apache-2.0 multimodal decision classifier fine-tuned from Gemma 4 12B IT on 30,000 questions. It returns calibrated probabilities for text, image, audio and video choices rather than generated explanations. Reported scores include 87.57% on DecisionBench Medium, 63.10% micro accuracy on 1,000 MMAU questions and 53.10% on MVBench, trailing larger references such as Inkling and Qwen3.5-397B-A17B. FP32 weights are about 50 GB; inference uses BF16 on CUDA.
- Fine-tuned from Gemma 4 12B IT on 30,000 questions.
- DecisionBench Medium accuracy is 87.57%; MMAU micro accuracy is 63.10%.
- Covers text, image, audio and video; quality past 20 options is unproven.
- Apache-2.0; author says it is unaffiliated with TypeSafe AI's Jev.
- Vendors
- Products
- Gemma 4
- Organizations
- Hugging Face
From the original article
2 min read at huggingface.cotext-classification · 0 downloads · 209 likes · license apache-2. 0
By akhilaaa3 · huggingface.co
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