Overview
Description
Gemma gives you Google-grade open-weights LLMs to build AI into your products without vendor lock-in. It handles multi-modal conversations combining text and images and can be fine-tuned on your own data. Runs on your own infrastructure with no external API dependency.
Technical scorecard
License
gemma
Commercial use
No
OpenAI-compatible API
No
REST API
No
Fine-tuning support
Yes
Quantization support
No
Docker available
No
GUI / no-code available
No
Telemetry
Unknown
Offline after setup
Yes
Data & Privacy
Does it send data online?
After setup, this listing is marked as usable offline. Confirm network behavior against the upstream project before regulated deployment.
Does it store history?
Not verified in this directory yet. Review the upstream docs for persistence, logs, and workspace storage.
License checks?
The listed license needs review before commercial use.
Telemetry?
Unknown
Last verified: Jul 22, 2026. Maintainer verification should be treated as directory guidance, not legal advice.
Planning to deploy Gemma?
Estimate exact GPU VRAM requirements, context limits, fine-tuning memory, and infrastructure costs for Gemma before committing to hardware.
Calculate Hardware & GPU Sizing →Setup & Installation
A developer can usually get this running with standard docs.
# Start with the official project repository
# https://ai.google.dev/gemma/Hardware Requirements
Works Well With