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@@ -1,21 +1,24 @@
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  ---
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- base_model: google/gemma-3-270m-it
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- language:
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- - en
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- library_name: transformers
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  license: gemma
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  tags:
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- - unsloth
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  - gemma3
 
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  - gemma
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  - google
 
 
 
 
 
 
 
 
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  ---
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  <div>
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- <p style="margin-bottom: 0; margin-top: 0;">
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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/">
@@ -24,25 +27,12 @@ tags:
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  <a href="https://discord.gg/unsloth">
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  <img src="https://github.com/unslothai/unsloth/raw/main/images/Discord%20button.png" width="173">
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  </a>
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- <a href="https://docs.unsloth.ai/basics/tutorial-how-to-run-deepseek-r1-on-your-own-local-device">
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  <img src="https://raw.githubusercontent.com/unslothai/unsloth/refs/heads/main/images/documentation%20green%20button.png" width="143">
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  </a>
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  </div>
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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 (270M) 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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-
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-
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- | Unsloth supports | Free Notebooks | Performance | Memory use |
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- |-----------------|--------------------------------------------------------------------------------------------------------------------------|-------------|----------|
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- | **Gemma 3 (4B)** | [▶️ Start on Colab](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Gemma3_(4B).ipynb) | 2x faster | 80% less |
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- | **Gemma-3n-E4B** | [▶️ Start on Colab](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Gemma3N_(4B)-Conversational.ipynb) | 2x faster | 60% less |
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- | **Gemma-3n-E4B (Audio)** | [▶️ Start on Colab](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Gemma3N_(4B)-Audio.ipynb) | 2x faster | 60% less |
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- | **GRPO with Gemma 3 (1B)** | [▶️ Start on Colab](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Gemma3_(1B)-GRPO.ipynb) | 2x faster | 80% less |
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- | **Gemma 3 (4B) Vision** | [▶️ Start on Colab](https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Gemma3_(4B)-Vision.ipynb) | 2x faster | 60% less |
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  # Gemma 3 model card
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@@ -83,7 +73,7 @@ for everyone.
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  - **Input:**
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  - Text string, such as a question, a prompt, or a document to be summarized
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  - Images, normalized to 896 x 896 resolution and encoded to 256 tokens
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- each
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  - Total input context of 128K tokens for the 4B, 12B, and 27B sizes, and
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  32K tokens for the 1B and 270M sizes.
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@@ -556,4 +546,4 @@ alternatives.
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  [jax]: https://github.com/jax-ml/jax
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  [ml-pathways]: https://blog.google/technology/ai/introducing-pathways-next-generation-ai-architecture/
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  [sustainability]: https://sustainability.google/operating-sustainably/
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- [gemini-2-paper]: https://arxiv.org/abs/2312.11805
 
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  ---
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+ base_model:
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+ - gg-hf-gm/gemma-3-270m-it
 
 
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  license: gemma
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  tags:
 
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  - gemma3
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+ - unsloth
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  - gemma
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  - google
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+ pipeline_tag: text-generation
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+ library_name: transformers
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+ extra_gated_heading: Access Gemma on Hugging Face
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+ extra_gated_prompt: >-
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+ To access Gemma on Hugging Face, you’re required to review and agree to
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+ Google’s usage license. To do this, please ensure you’re logged in to Hugging
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+ Face and click below. Requests are processed immediately.
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+ extra_gated_button_content: Acknowledge license
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  ---
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  <div>
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+ <p style="margin-top: 0;margin-bottom: 0;">
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+ <em><a href="https://docs.unsloth.ai/basics/unsloth-dynamic-v2.0-gguf">Unsloth Dynamic 2.0</a> achieves superior accuracy & outperforms other leading quants.</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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  <a href="https://discord.gg/unsloth">
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  <img src="https://github.com/unslothai/unsloth/raw/main/images/Discord%20button.png" width="173">
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  </a>
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+ <a href="https://docs.unsloth.ai/">
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  <img src="https://raw.githubusercontent.com/unslothai/unsloth/refs/heads/main/images/documentation%20green%20button.png" width="143">
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  </a>
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  </div>
 
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  </div>
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  # Gemma 3 model card
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  - **Input:**
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  - Text string, such as a question, a prompt, or a document to be summarized
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  - Images, normalized to 896 x 896 resolution and encoded to 256 tokens
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+ each, for the 4B, 12B, and 27B sizes.
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  - Total input context of 128K tokens for the 4B, 12B, and 27B sizes, and
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  32K tokens for the 1B and 270M sizes.
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  [jax]: https://github.com/jax-ml/jax
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  [ml-pathways]: https://blog.google/technology/ai/introducing-pathways-next-generation-ai-architecture/
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  [sustainability]: https://sustainability.google/operating-sustainably/
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+ [gemini-2-paper]: https://arxiv.org/abs/2312.11805