Mimma-3-12b

Model overview

Mimma-3-12b is published by pankajmathur as a text-generation model. The captured configuration identifies Gemma3ForConditionalGeneration with model type gemma3, and Safetensors metadata reports about 12.19B parameters. Hub linkage identifies google/gemma-3-12b-it as the base fine-tune source.

Recorded capabilities

Use cases in the source record

• Text-generation and image-understanding experiments consistent with the captured text-generation tagging and documented Gemma 3 multimodal input.
• Instruction-style fine-tune experiments building on the linked orca_mini_v8_sharegpt_format dataset lineage.

Limitations and unknowns

• No evaluation results specific to this fine-tune were extracted from this record.
• Much of the card reproduces upstream Gemma 3 family documentation on context, languages, and training tokens; those family statements were not treated as measurements of this fine-tune.
• According to the model card, training-data scope affects capabilities and generated responses may contain incorrect or outdated factual statements.
• Provider state is historical snapshot data and should be refreshed before being presented as current.

Source and provenance

Source: pankajmathur/Mimma-3-12b

Captured: Unknown. Processed: 2026-09-07T19:35:28.160065+00:00.

Mimma = gemma3 + Nonna secret sauce buon appetito 😋 "Obsessed with building Open Source AGI, So am I! Let's Contribute together 🚀 https://www.linkedin.com/in/pankajam " Use this model for Free by choosing Google Colab or Kaggle notebooks from right side "Use this model" Usage Below, there are some code snippets on how to get quickly started with running the model. First, install the Transformers library. Gemma 3 is supported starting from transformers 4.50.0. $ pip install -U transformers Then, copy the snippet from the section that is relevant for your use case. Running with the pipeline API You can initialize the model and proce…