Resources

Everything You Need for Gemma 4

Official documentation, model downloads, inference frameworks, fine-tuning tools, and community resources to help you work with Gemma 4.

Official Resources

Google Blog Announcement

Official announcement introducing Gemma 4

Google DeepMind Model Page

Overview and capabilities of the Gemma 4 family

Google AI Studio — Try Gemma 4

Run Gemma 4 interactively in the browser

Model Card & Technical Report

Full technical details, benchmarks, and usage guidelines

Apache 2.0 License

Open-source license governing Gemma 4 usage

Download Model Weights

Hugging Face — Gemma 4 Collection

Official model weights and collection on Hugging Face

Official GitHub Repository

Model implementation, issues, and contribution workflow

Pre-configured Gemma 4 models for Ollama

Inference Frameworks

Framework	Best For	Link
Ollama	Local chat, easiest setup	Visit
llama.cpp	CPU inference, quantization	Visit
vLLM	Server deployment, high throughput	Visit
LM Studio	Desktop GUI, no code	Visit
MLX	Apple Silicon optimized	Visit
SGLang	Structured generation	Visit

Fine-tuning Tools

Unsloth

Fast fine-tuning with LoRA and QLoRA, minimal GPU memory

Hugging Face TRL

Train and fine-tune transformer language models

Google Colab Notebooks

Free GPU notebooks to experiment with Gemma 4

Vertex AI

Managed MLOps platform for large-scale training

Community

Gemma Cookbook

Community examples and practical implementation patterns

Hugging Face Discussion

Community discussions about Gemma 4

Gemma GitHub Issues

Track known issues and implementation discussions

GitHub Issues & PRs

Contribute to the official Gemma PyTorch repository

Ready to Get Started?

Follow the quickstart guide to run Gemma 4 locally or in the cloud in under five minutes.

Quickstart Guide View Models