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  <strong>See <a href="https://huggingface.co/collections/unsloth/gemma-3-67d12b7e8816ec6efa7e4e5b">our collection</a> for all versions of Gemma 3 including GGUF, 4-bit & 16-bit formats.</strong>
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  </p>
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  <p style="margin-bottom: 0;">
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- <em>Unsloth's Gemma 3 <a href="https://unsloth.ai/blog/dynamic-4bit">Dynamic Quants</a> is selectively quantized, greatly improving accuracy over standard 4-bit.</em>
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  </p>
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  <div style="display: flex; gap: 5px; align-items: center; ">
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  <a href="https://github.com/unslothai/unsloth/">
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  <h1 style="margin-top: 0rem;">✨ Fine-tune Gemma 3 with Unsloth!</h1>
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  </div>
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- - Fine-tune Gemma 3 (12B) for free using our Google [Colab notebook here](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Gemma3.ipynb)!
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  - Read our Blog about Gemma 3 support: [unsloth.ai/blog/gemma3](https://unsloth.ai/blog/gemma3)
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  - View the rest of our notebooks in our [docs here](https://docs.unsloth.ai/get-started/unsloth-notebooks).
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  - Export your fine-tuned model to GGUF, Ollama, llama.cpp or 🤗HF.
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  | Unsloth supports | Free Notebooks | Performance | Memory use |
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  |-----------------|--------------------------------------------------------------------------------------------------------------------------|-------------|----------|
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- | **GRPO with Gemma 3 (12B)** | [▶️ Start on Colab](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Gemma_3_(12B)-GRPO.ipynb) | 2x faster | 80% less |
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  | **Llama-3.2 (3B)** | [▶️ Start on Colab](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Llama3.2_(1B_and_3B)-Conversational.ipynb) | 2.4x faster | 58% less |
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  | **Llama-3.2 (11B vision)** | [▶️ Start on Colab](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Llama3.2_(11B)-Vision.ipynb) | 2x faster | 60% less |
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  | **Qwen2.5 (7B)** | [▶️ Start on Colab](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen2.5_(7B)-Alpaca.ipynb) | 2x faster | 60% less |
 
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  <strong>See <a href="https://huggingface.co/collections/unsloth/gemma-3-67d12b7e8816ec6efa7e4e5b">our collection</a> for all versions of Gemma 3 including GGUF, 4-bit & 16-bit formats.</strong>
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  </p>
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  <p style="margin-bottom: 0;">
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+ <em><a href="https://docs.unsloth.ai/basics/tutorial-how-to-run-gemma-3-effectively">Read our Guide</a> to see how to Run Gemma 3 correctly.</em>
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  </p>
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  <div style="display: flex; gap: 5px; align-items: center; ">
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  <a href="https://github.com/unslothai/unsloth/">
 
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  <h1 style="margin-top: 0rem;">✨ Fine-tune Gemma 3 with Unsloth!</h1>
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  </div>
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+ - Fine-tune Gemma 3 (12B) for free using our Google [Colab notebook here](https://docs.unsloth.ai/get-started/unsloth-notebooks)!
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  - Read our Blog about Gemma 3 support: [unsloth.ai/blog/gemma3](https://unsloth.ai/blog/gemma3)
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  - View the rest of our notebooks in our [docs here](https://docs.unsloth.ai/get-started/unsloth-notebooks).
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  - Export your fine-tuned model to GGUF, Ollama, llama.cpp or 🤗HF.
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  | Unsloth supports | Free Notebooks | Performance | Memory use |
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  |-----------------|--------------------------------------------------------------------------------------------------------------------------|-------------|----------|
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+ | **GRPO with Gemma 3 (12B)** | [▶️ Start on Colab](https://docs.unsloth.ai/get-started/unsloth-notebooks) | 2x faster | 80% less |
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  | **Llama-3.2 (3B)** | [▶️ Start on Colab](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Llama3.2_(1B_and_3B)-Conversational.ipynb) | 2.4x faster | 58% less |
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  | **Llama-3.2 (11B vision)** | [▶️ Start on Colab](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Llama3.2_(11B)-Vision.ipynb) | 2x faster | 60% less |
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  | **Qwen2.5 (7B)** | [▶️ Start on Colab](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen2.5_(7B)-Alpaca.ipynb) | 2x faster | 60% less |