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  • Gemma
Gemma Docs
Google AI for Developers
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  • Releases
  • Models
  • Core Gemma
    • Overview
    • Gemma 4 model card
    • Gemma 3 model card
    • Gemma 2 model card
    • Gemma 1 model card
  • Core Variants
    • Gemma 3n
      • Overview
      • Model card
    • DiffusionGemma
      • Overview
      • Model card
      • Diffusion Explained
      • Generate Output
    • FunctionGemma
      • Overview
      • Model card
      • Formatting and best practices
      • Function calling with Hugging Face Transformers
      • Full function calling sequence with FunctionGemma
      • Fine-tune FunctionGemma
    • EmbeddingGemma
      • Overview
      • Model card
      • Generate embeddings with Sentence Transformers
      • Fine-tune EmbeddingGemma
    • PaliGemma
      • Overview
      • v2 model card
      • v1 model card
      • Generate output with Keras
      • Fine-tune with JAX and Flax
      • Prompt and system instructions
    • ShieldGemma
      • Overview
      • ShieldGemma 2 Model card
      • ShieldGemma 1 Model card
  • Run Gemma
  • Fundamentals
    • Overview
    • Prompt Formatting
    • Legacy Gemma setup [Gemma 1, 2, and 3]
    • Legacy Prompt and system instructions [Gemma 1, 2, and 3]
  • Run locally with a Chat UI or integrate via API
    • LM Studio
    • Ollama
  • Run efficiently on Edge
    • LiteRT-LM
    • Llama.cpp
    • MLX
  • Build/Train in Python
    • Tunix (Tune-in-JAX)
    • Hugging Face Transformers
    • Keras
    • Unsloth
  • Deploy to Production / Enterprise
    • Gemini API
    • Google Cloud
    • Cloud GKE
  • Multi-Token Prediction (MTP)
    • Overview
    • Hugging Face Transformers
  • Core Capabilities
  • Text
    • Basic and multi-turn chat
    • Function calling
  • Visual data
    • Overview
    • Image understanding
    • Video understanding
  • Audio data
  • Thinking
  • Tuning guides
  • Overview
  • Tune using Hugging Face Transformers and QLoRA
  • Vision Tune using Hugging Face Transformers and QLoRA
  • Full model fine-tune using Hugging Face Transformers
  • Tune using Gemma library
  • Research and tools
  • RecurrentGemma
    • Overview
    • Inference using JAX and Flax
    • Fine-tune using JAX and Flax
    • Model card
  • DataGemma
  • Gemma Scope
  • Gemma-APS
  • Community
  • Gemmaverse
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  • Legal
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  • Gemma 4 license
  • Prohibited use
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  • Gemini
  • About
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  • Imagen
  • About
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  • Veo
  • About
  • Docs
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  • Gemma
  • About
  • Docs
  • Gemmaverse
  • Build with Gemini
  • Gemini API
  • Google AI Studio
  • Customize Gemma open models
  • Gemma open models
  • Multi-framework with Keras
  • Fine-tune in Colab
  • Run on-device
  • Google AI Edge
  • Gemini Nano on Android
  • Chrome built-in web APIs
  • Build responsibly
  • Responsible GenAI Toolkit
  • Secure AI Framework
  • Android Studio
  • Chrome DevTools
  • Colab
  • Firebase
  • Google Cloud
  • JetBrains
  • Jules
  • VS Code
  • Google AI Forum
  • Gemini for Research
Gemma 4 released with text, audio and image input and long up to 256K context window! Learn more
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