# Gemma

> Source: <https://github.com/google-gemma/awesome-gemma>
> Published: 2026-08-21 17:33:45+00:00

[Start Here](#start-here)[Models](#models)[Inference](#inference)[Fine-Tune](#fine-tune)[Tutorials](#tutorials)[Demos and Applications](#demos-and-applications)[Gemma 4 Good Challenge](#gemma-4-good-challenge)[Gemma in Space](#gemma-in-space)[Research and Evaluation](#research-and-evaluation)

[Gemma Documentation](https://ai.google.dev/gemma/docs)— Official documentation for selecting, running, tuning, and deploying Gemma models.[Get Started with Gemma](https://ai.google.dev/gemma/docs/get_started)— Get started running inference with the multimodal Gemma 4 models.[Gemma Cookbook](https://github.com/google-gemma/cookbook)— Maintained notebooks, examples, workshops, and end-to-end applications.[Gemma Skills](https://github.com/google-gemma/gemma-skills)— Reusable Agent Skills for selecting, running, and training Gemma models.[Gemma Events](https://luma.com/gemma-events)— Overview of upcoming Gemma events.[Gemma on X](https://x.com/googlegemma)— For news, announcements, and updates about Gemma.

[Gemma 4 Overview](https://ai.google.dev/gemma/docs/core)— An overview of the capabilities, architecture, and more of Gemma 4 models.[Gemma 4 Model Card](https://ai.google.dev/gemma/docs/core/model_card_4)— Architecture, training, evaluation, safety, and usage details.[Gemma 4 (Hugging Face)](https://huggingface.co/collections/google/gemma-4)— Gemma 4 checkpoints (+ assistant models) on Hugging Face.[Gemma 4 QAT](https://huggingface.co/collections/google/gemma-4-qat-q4-0)— Quantization-aware checkpoints for local and server inference.[Gemma 4 Mobile QAT](https://huggingface.co/collections/google/gemma-4-qat-mobile)— Mobile-optimized checkpoints for the E2B and E4B models.[Previous Gemma Model Cards](https://deepmind.google/models/model-cards/)— Model cards for Gemma 1–3 and earlier Gemma families.

[DiffusionGemma](https://huggingface.co/collections/google/diffusiongemma)— Experimental discrete-diffusion text generation based on Gemma 4.[EmbeddingGemma](https://huggingface.co/collections/google/embeddinggemma)— Compact embedding model designed for retrieval and on-device use.[FunctionGemma](https://huggingface.co/collections/google/functiongemma)— Foundation for building specialized function-calling models.[MedGemma](https://huggingface.co/collections/google/medgemma-release)— Models optimized for medical text and image comprehension.[PaliGemma 2](https://huggingface.co/collections/google/paligemma-2-release)— Vision-language models for detailed image understanding tasks.[ShieldGemma 2](https://huggingface.co/collections/google/shieldgemma)— Image-safety classifier built on Gemma 3.[T5Gemma 2](https://huggingface.co/collections/google/t5gemma-2)— Encoder-decoder models for contextual understanding and generation.[TranslateGemma](https://huggingface.co/collections/google/translategemma)— Translation models covering 55 languages.[TxGemma](https://huggingface.co/collections/google/txgemma-release)— Models for therapeutic-development research.[VaultGemma](https://huggingface.co/google/vaultgemma-1b)— Language model trained with differential privacy.[DataGemma](https://huggingface.co/collections/google/datagemma-release)— Models and recipes for grounding responses with Data Commons.[RecurrentGemma](https://huggingface.co/collections/google/recurrentgemma-release)— Open models based on the recurrent Griffin architecture.[Gemma Scope 2](https://huggingface.co/collections/google/gemma-scope-2)— Open sparse autoencoders and interpretability tooling for studying Gemma 3.[Gemma-APS](https://huggingface.co/collections/google/gemma-aps-release)— Abstractive proposition segmentation for decomposing text into meaningful claims.[Cell2Sentence-Scale](https://huggingface.co/vandijklab/C2S-Scale-Gemma-2-27B)— A Gemma 2 27B model fine-tuned for single-cell biology.[DolphinGemma](https://deepmind.google/models/gemma/dolphingemma/)— Uses dolphin audio to help scientists study how dolphins communicate.

[HF Transformers](https://huggingface.co/docs/transformers/model_doc/gemma4)— Python library for loading, running, and fine-tuning Hugging Face models.[llama.cpp](https://huggingface.co/collections/ggml-org/gemma-4)— LLM inference in C/C++ with GGUF quantization.[Unsloth](https://unsloth.ai/docs/models/gemma-4)— Local UI to run and train LLMs and diffusion models.[Ollama](https://ollama.com/library/gemma4)— Get up and running with large language models locally.[LM Studio](https://lmstudio.ai/models/gemma-4)— Desktop application to discover, download, and run local models.[vLLM](https://docs.vllm.ai/projects/recipes/en/stable/Google/Gemma4.html)— High-throughput and memory-efficient LLM serving engine.[SGLang](https://lmsysorg.mintlify.app/cookbook/autoregressive/Google/Gemma4)— Fast serving framework for large language models and vision-language models.[AI Edge Gallery](https://github.com/google-ai-edge/gallery)— On-device ML models and examples for mobile and edge devices.[LiteRT](https://developers.google.com/edge/litert-lm/models/gemma-4)— Google's runtime for on-device ML deployment.[JAX](https://github.com/google-deepmind/gemma)— Official Gemma reference implementation in JAX and Flax.[React Native](https://github.com/software-mansion/react-native-executorch/tree/main/apps/llm)— Run on-device Gemma models within React Native using ExecuTorch.[GenieX](https://aihub.qualcomm.com/models/gemma_4_e4b_it)— Run Gemma on Qualcomm hardware.[Docker](https://hub.docker.com/r/ai/gemma4)— Run Gemma 4 in Docker.

[Gemini Enterprise Agent Platform (Formerly Vertex AI)](https://console.cloud.google.com/agent-platform/publishers/google/model-garden/gemma4)— Fully managed enterprise AI platform on Google Cloud.[OpenRouter](https://openrouter.ai/google/gemma-4-31b-it)— Unified API routing to multiple AI model providers.[Cerebras](https://inference-docs.cerebras.ai/models/gemma-4-31b)— High-speed Gemma 4 inference on Cerebras.[NVIDIA](https://huggingface.co/nvidia/Gemma-4-31B-IT-NVFP4)— Optimized TensorRT-LLM and NVFP4 checkpoints.[AMD](https://www.amd.com/en/developer/resources/technical-articles/2026/day-0-support-for-gemma-4-on-amd-processors-and-gpus.html)— Support for AMD ROCm GPUs and processors.[AI Studio](https://aistudio.google.com/app/prompts/new_chat?model=gemma-4-31b-it)— Web-based prototyping and development environment.[Cloud Run](https://docs.cloud.google.com/run/docs/run-gemma-on-cloud-run)— Deploy containerized Gemma services with autoscaling GPUs.[LiveKit](https://livekit.com/products/inference/gemma-4)— Real-time multimodal voice and video inference infrastructure.[Together AI](https://www.together.ai/models/gemma-4-31b)— Cloud platform for running and fine-tuning open source models.[Modal](https://modal.com/docs/launch/gemma-4)— Run and deploy Gemma 4 on the Modal platform.[Fireworks](https://fireworks.ai/models/fireworks/gemma-4-31b-it)— Run and deploy Gemma 4 on the Fireworks.AI platform.[BaseTen](https://www.baseten.co/library/publisher/gemma/)— Run and deploy Gemma 4 on the BaseTen platform.[Runpod](https://docs.runpod.io/tutorials/serverless/run-gemma-7b)— Experiment, train, fine-tune, and deploy Gemma.[Cloudflare](https://developers.cloudflare.com/workers-ai/models/gemma-4-26b-a4b-it/)— Run Gemma 4 on the Workers AI LLM Playground.

[Fine-Tune Gemma](https://ai.google.dev/gemma/docs/tune)— Official framework guide covering Keras, JAX, Hugging Face, Unsloth, Axolotl, and Google Cloud.[Gemma Cookbook: Training](https://github.com/google-gemma/cookbook/tree/main/docs/core)— Official fine-tuning notebooks and training recipes.[Tunix](https://github.com/google/tunix)— JAX-native library for post-training generative models.[Unsloth Gemma 4 fine-tuning guide](https://unsloth.ai/docs/models/gemma-4/train)— Train Gemma 4 E2B, E4B, 12B, 26B A4B and 31B with Unsloth.[Gemma Multimodal Tuner](https://github.com/mattmireles/gemma-tuner-multimodal)— Fine-tune Gemma 3n and Gemma 4 with text, images, and audio on Apple Silicon.[MLX Tune](https://github.com/ARahim3/mlx-tune#gemma-4-audio-fine-tuning)— MLX-native SFT, preference tuning, and multimodal fine-tuning with Gemma 4 support.

[A Visual Guide to Gemma 4](https://newsletter.maartengrootendorst.com/p/a-visual-guide-to-gemma-4)[A Visual Guide to Gemma 4 12B](https://newsletter.maartengrootendorst.com/p/a-visual-guide-to-gemma-4-12b)[A Visual Guide to DiffusionGemma](https://newsletter.maartengrootendorst.com/p/a-visual-guide-to-diffusiongemma)[A Visual Guide to the Gemma 4 Drafters](https://x.com/googlegemma/status/2051694045869879749)[Variable Aspect Ratio and Variable Resolutions in Gemma 4](https://x.com/googlegemma/status/2047734622109466893)[How to Use Transformers.js in a Chrome Extension](https://huggingface.co/blog/transformersjs-chrome-extension)[How to run a local coding agent with Gemma 4 and Pi](https://patloeber.com/gemma-4-pi-agent/)[How to run Gemma 4 with OpenClaw](https://x.com/googlegemma/status/2041512106269319328)[How a Small Fix Improves Gemma 4 Vision Performance](https://www.overshoot.ai/blogs/gemma-4-batched-encoder)[While I slept, my 5-year-old MacBook ran Gemma 4 locally and indexed a year of video](https://blog.simbastack.com/indexed-a-year-of-video-locally/)[Fine-tuning Gemma 4 12B on your own data](https://x.com/akshay_pachaar/status/2063610194618396728)[Turning Gemma 4 into an Old Korean Translator](https://dev.to/googleai/turning-gemma-4-into-an-old-korean-translator-hop)

[Gemma 4 Vision Token Budget](https://huggingface.co/spaces/google/gemma4_vision_token_budget)— Explore the effect of image resolution and visual-token budgets.[Concurrent Gemma](https://github.com/google-gemma/cookbook/tree/main/apps/concurrent)— Run and compare multiple concurrent local Gemma instances.[See what 3 builders are making with Gemma 4](https://blog.google/innovation-and-ai/technology/developers-tools/gemma-4-builders/)— Various applications developed by the community.[AIventure](https://github.com/bebechien/AIventure)— A 2D grid-based adventure game built with Phaser 3 and Angular with Gemma driving it.[Gemma Chat](https://github.com/ammaarreshi/gemma-chat)— Local AI chat + coding agent for Apple Silicon, powered by Gemma 4 via MLX / Supports Ollama.[Build with Gemma 4 and Haystack](https://haystack.deepset.ai/cookbook/gemma_chat_rag)— Runnable notebook covering RAG, visual question answering, a multimodal weather agent, and GitHub tool discovery.[Gemma 4 Browser Extension](https://github.com/nico-martin/gemma4-browser-extension)— Local browser agent powered by Gemma 4, WebGPU, and Transformers.js.[WebGemma](https://github.com/NSTiwari/WebGemma)— Browser playground and interactive model timeline powered by WebGPU and Transformers.js.[Controlling an iOS simulator](https://x.com/swmansion/status/2054949426485993669)— Gemma 4 using Argent to control an iOS simulator showcasing its capabilities in agentic workflows.[Automated Video Segmentation & Tracking](https://x.com/dahou_yasser/status/2044372250644901899)— A demo that uses Gemma 4 + Falcon Perception for video tracking.[Parking Lot Car Detection & Segmentation](https://x.com/MaziyarPanahi/status/2042592050940449260)— Gemma 4 analyzes the scene, decides the questions, generates prompts, and calls SAM 3.1 as a tool. SAM 3.1 segments and returns results.[Gemma 4 and MTP as a Marathon Engine](https://dev.to/gde/the-local-model-that-doesnt-sleep-gemma-4-mtp-as-a-marathon-engine-4c9)— Benchmarks speculative decoding across increasing context lengths.[Cactus Hybrid](https://github.com/cactus-compute/cactus-hybrid)— Post-trained Gemma 4 models to recognize when they are wrong, run on any framework.[Damage Scout](https://x.com/cerebras/status/2075671402091606416)— Damage Scout samples frames from a rental car walkaround, sends them to Gemma 4, gets back structured findings and box coordinates, then renders an annotated damage report in under 6 seconds.[MedGemma Impact Challenge](https://www.kaggle.com/competitions/med-gemma-impact-challenge/hackathon-winners)— The winners of the MedGemma hackathon to build human-centered AI applications with MedGemma.[Gemma-Translator](https://github.com/google-gemma/gemma-translator)— A fully offline device powered by Gemma 4 E2B built with Google Antigravity.[Real-Time Voice AI with Gemma 4](https://huggingface.co/blog/cerebras-gemma4-voice-ai)— Open-source cascaded voice stack using Gemma 4 for low-latency reasoning.

[Amazing projects](https://www.kaggle.com/competitions/gemma-4-good-hackathon) that harness the power of Gemma 4 to drive positive change and global impact.

[Trido](https://www.kaggle.com/competitions/gemma-4-good-hackathon/writeups/trido)— A Voice-Driven AI Whiteboard Built for the Teacher Nobody Builds For.[CodeBuddy](https://www.kaggle.com/competitions/gemma-4-good-hackathon/writeups/new-writeup-1778344276798)— AI Python Tutor for Indonesian Students.[Port-a-Prof](https://www.kaggle.com/competitions/gemma-4-good-hackathon/writeups/port-a-prof)— Deeper learning, wherever you are.[TriageMate](https://www.kaggle.com/competitions/gemma-4-good-hackathon/writeups/triagemate-offline-first-clinical-ai-for-ghanas)— Offline-first Clinical AI for Ghana's Community Health Officers.[ORCA-G4](https://www.kaggle.com/competitions/gemma-4-good-hackathon/writeups/orca-g4)— On-device oral cancer intelligence for 900,000 ASHA workers in rural India.[DEMENTOR](https://www.kaggle.com/competitions/gemma-4-good-hackathon/writeups/dementor-edge-ai-triage-for-dementia-care)— Edge AI Triage for Dementia Care.[PreVillage](https://www.kaggle.com/competitions/gemma-4-good-hackathon/writeups/previllage-a-govspeak-platform)— A source-backed navigator for Nepal’s government services, built to find the office route, not just the form.[BrailleOut](https://www.kaggle.com/competitions/gemma-4-good-hackathon/writeups/new-writeup-1779137654649)— An assistive device that reads the text and images from real-world and converts it to Braille using Gemma 4 and Ollama.[Gem-Care](https://www.kaggle.com/competitions/gemma-4-good-hackathon/writeups/gem-care-gemma-4-good-hackathon)— Gemma-4-Enriched with Multimodal Clinical-context Adaptation for Recognition Enhancement of Non-Normative Speech.[Trajectix](https://www.kaggle.com/competitions/gemma-4-good-hackathon/writeups/trajectix-an-agentic-flight-recorder-for-ai-infra)— An Agentic Flight Recorder for AI Infrastructure Safety.[TrueVoice](https://www.kaggle.com/competitions/gemma-4-good-hackathon/writeups/new-writeup-1776369081947)— AI Voice Deepfake Detector.[AI Conceptualizer](https://www.kaggle.com/competitions/gemma-4-good-hackathon/writeups/new-writeup-1779074198441)— 3D visualizations for mechanistic interpretability and "concept spectroscopy".[Acuífero·Vigía](https://www.kaggle.com/competitions/gemma-4-good-hackathon/writeups/acuifero4vigia)— Hybrid edge-and-citizen flood early warning for Argentina's Litoral, where every minute of warning is a life.[ResQ](https://www.kaggle.com/competitions/gemma-4-good-hackathon/writeups/resq)— Offline Multilingual Disaster Response Coach on Gemma 4 E2B.

[Starcloud-1](https://www.cnbc.com/2025/12/10/nvidia-backed-starcloud-trains-first-ai-model-in-space-orbital-data-centers.html)— Starcloud deployed and ran Gemma in orbit aboard an H100 GPU.[NASA](https://spectrum.ieee.org/nasa-ai-satellite-image-analysis)— NASA runs Gemma in orbit to analyze satellite imagery and compress visual data into text for rapid, low-bandwidth disaster response.

[Gemma 4 Technical Report](https://arxiv.org/abs/2607.02770)— The technical report covering Gemma 4 E2B, E4B, 12B, 26B A4B, and 31B.[DiffusionGemma Technical Report](https://arxiv.org/abs/2608.00146)— The technical report covering DiffusionGemma.[Artificial Analysis](https://artificialanalysis.ai/models/gemma-4-31b)— Intelligence, Performance & Price Analysis.[ChessBench](https://x.com/googlegemma/status/2054283302090277123)— Chess LLM Benchmark Leaderboard.[TERMS-Bench](https://x.com/ericavaneee/status/2055868536099381638)— A benchmark for LLM negotiation agents based on economic negotiation.

This is not an officially supported Google product. This project is not eligible for the [Google Open Source Software Vulnerability Rewards Program](https://bughunters.google.com/open-source-security).