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|[[Gemma_3]Using_with_Transformersjs.ipynb]([Gemma_3]Using_with_Transformersjs.ipynb)| Run Gemma 3 with [Transformers.js](https://github.com/huggingface/transformers.js). |
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|[[Gemma_3]Activation_Hacking.ipynb]([Gemma_3]Activation_Hacking.ipynb)| Examine and modify internal states, including the residual stream, MLP activations, and attention mechanisms. |
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|[[Gemma_3]Gradio_LlamaCpp_Chatbot.ipynb]([Gemma_3]Gradio_LlamaCpp_Chatbot.ipynb)| Building a Chatbot with Gemma 3 QAT text model using Llama.cpp and Gradio. |
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|[Gemma_3n]Audio_understanding_with_HF.ipynb]([Gemma_3n]Audio_understanding_with_HF.ipynb)| Run Gemma 3n with audio input |
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|[Gemma_3n]Multimodal_understanding_with_HF.ipynb]([Gemma_3n]Multimodal_understanding_with_HF.ipynb)| Run Gemma 3n with image + audio input |
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|[Gemma_3n]MatFormer_Lab.ipynb]([Gemma_3n]MatFormer_Lab.ipynb)| Run Gemma 3n with MatFormers and Mix-n-Match |
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|[[Gemma_3n]Audio_understanding_with_HF.ipynb]([Gemma_3n]Audio_understanding_with_HF.ipynb)| Run Gemma 3n with audio input |
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|[[Gemma_3n]Multimodal_understanding_with_HF.ipynb]([Gemma_3n]Multimodal_understanding_with_HF.ipynb)| Run Gemma 3n with image + audio input |
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|[[Gemma_3n]MatFormer_Lab.ipynb]([Gemma_3n]MatFormer_Lab.ipynb)| Run Gemma 3n with MatFormers and Mix-n-Match |
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## Prompting
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| Notebook Name | Description |
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|[[Gemma_3]Meme_Generator.ipynb]([Gemma_3]Meme_Generator.ipynb)| Meme Generator using Gemma 3 4B IT model |
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|[[Gemma_3]Function_Calling_with_HF.ipynb]([Gemma_3]Function_Calling_with_HF.ipynb)| Demonstrate how to use function calling with Gemma 3 using [Hugging Face](https://huggingface.co/). |
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|[[Gemma_3]Function_Calling_with_HF_document_summarizer.ipynb]([Gemma_3]Function_Calling_with_HF_document_summarizer.ipynb)| Demonstrate how to build a document summarizer using function calling with Gemma 3 and Hugging Face. |
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|[[Gemma_3]Local_Agentic_RAG.ipynb]([Gemma_3]Local_Agentic_RAG.ipynb)| Build local Agentic RAG without any external APIs using [FastEmbed](https://github.com/qdrant/fastembed), [Ollama- Gemma3](https://ollama.com/models), and [Qdrant Vector database](https://cloud.qdrant.io)|
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|[[Gemma_3]Local_Agentic_RAG.ipynb]([Gemma_3]Local_Agentic_RAG.ipynb)| Build local Agentic RAG without any external APIs using [FastEmbed](https://github.com/qdrant/fastembed), [Ollama- Gemma3](https://ollama.com/models), and [Qdrant Vector database](https://cloud.qdrant.io)|
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