See our collection for all versions of Gemma 3 including GGUF, 4 bit & 16 bit formats. Read our Guide to see how to Run Gemma 3 correctly. ✨ Fine tune Gemma 3 with Unsloth! Fine tune Gemma 3 (12B) for free using our Google Colab notebook here! Read our Blog about Gemma 3 support: unsloth.ai/blog/gemma3 View the rest of our notebooks in our docs here. Export your fine tuned model to GGUF, Ollama, llama.cpp or 🤗HF. Unsloth supports Free Notebooks Performance Memory use GRPO with Gemma 3 (12B) ▶️ Start on Colab 2x faster 80% less Llama 3.2 (3B) ▶️ Start on Colab Conversational.ipynb) 2.4x faster 58% less Llama 3.2 (11B vision) ▶️ Start on Colab Vision.ipynb) 2x faster 60% less Qwen2.5 (7B) ▶️ Start on Colab Alpaca.ipynb) 2x faster 60% less Phi 4 (14B) ▶️ Start on Colab 2x faster 50% less Mistral (7B) ▶️ Start on Colab Conversational.ipynb) 2.2x faster 62% less Gemma 3 model card Model Page : Gemma Resources and Technical Documentation : [Gemma 3 Technical Report][g3 tech report] [Responsible Generative AI Toolkit][rai toolkit] [Gemma on Kaggle][kaggle gemma] [Gemma on Vertex Model Garden][vertex mg gemma3] Terms of Use : [Terms][terms] Authors : Google DeepMind Model Information Summ…
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