Gemma3 conditional-generation architecture
The captured configuration identifies Gemma3ForConditionalGeneration with model type gemma3.
Open Source Model Profile · zelk12
MT5-Gen3_gemma-3-12B is a 12.19B-parameter Gemma3-family image-text-to-text merge from zelk12. According to the model card, it merges five Gemma3 12B variants with LazyMergekit.
MT5-Gen3_gemma-3-12B is published by zelk12 as an image-text-to-text model. The captured configuration identifies Gemma3ForConditionalGeneration with model type gemma3, and Safetensors metadata reports about 12.19B parameters. According to the model card, it is a LazyMergekit merge of five Gemma3 12B variants built on TheDrummer/Fallen-Gemma3-12B-v1.
The captured configuration identifies Gemma3ForConditionalGeneration with model type gemma3.
Safetensors metadata reports 12,187,325,040 parameters.
According to the model card, the release merges five named Gemma3 12B variants using LazyMergekit with dare_ties; hub tags record the same merge lineage.
According to the model card, the merge configuration specifies bfloat16 output with normalization.
According to the model card, the publisher documents Transformers pipeline usage with a chat-template prompt and sampling settings.
Source: zelk12/MT5-Gen3_gemma-3-12B
Captured: Unknown. Processed: 2026-09-07T19:36:04.271196+00:00.
MT5-Gen3_gemma-3-12B MT5-Gen3_gemma-3-12B is a merge of the following models using LazyMergekit : IlyaGusev/saiga_gemma3_12b zelk12/MT1-gemma-3-12B soob3123/amoral-gemma3-12B-v2 zelk12/MT-Gen1-gemma-3-12B zelk12/MT-gemma-3-12B 🧩 Configuration models: - model: TheDrummer/Fallen-Gemma3-12B-v1 #no parameters necessary for base model - model: IlyaGusev/saiga_gemma3_12b parameters: density: 0.8 weight: 0.5 - model: zelk12/MT1-gemma-3-12B parameters: density: 0.792 weight: 0.507 - model: soob3123/amoral-gemma3-12B-v2 parameters: density: 0.684 weight: 0.615 - model: zelk12/MT-Gen1-gemma-3-12B parameters: density: 0.518 weight: 0.781 - mo…
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