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Launched 2024 Β· Verified Oct 2, 2026

Gemma

Verified Oct 2, 2026 Active
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Google DeepMind's family of open-weight language and multimodal models, from phone-sized to workstation-sized, free to download and run.

open weightsllmmultimodalon devicegoogleFree

Listed on EffectHub Β·

Linux Β· macOS Β· Windows Β· Android
Screenshot of the Gemma website
#3266
deepmind.google as we captured it β€” our own screenshot, not the vendor’s press image.

Pricing

Pricing model
100% Free

Model weights are free to download and, for Gemma 4, licensed under Apache 2.0. Running them costs your own hardware or whichever cloud or hosted service you choose; earlier Gemma generations used Google's own Gemma terms of use.

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Overview

About Gemma

Gemma is a family of open models from Google DeepMind, built from the same research as Gemini. The current generation, Gemma 4, ships in sizes from small edge models to a 31-billion-parameter model and handles text, images and, in the smaller variants, audio. Specialised variants cover medical text and images, safety classification, encoder-decoder tasks and text diffusion. You download the weights from Kaggle or Hugging Face and run them with tools such as Ollama, LM Studio, PyTorch or JAX. Gemma 4 moved to the Apache 2.0 license; the earlier Gemma 2 listed by many directories is a previous generation.

Platforms
Linux Β· macOS Β· Windows Β· Android
API
No
Last verified
Oct 2, 2026

Verified sources

Fact check

Is Gemma legit?

We don’t label tools safe or unsafe. Below are the records we checked ourselves, each with the date we read it.

Last checked
Oct 2, 2026The site answered
On the market since
2024The vendor's own material, read by us
Operated by
Google DeepMind, United StatesOur research, card verified Oct 2, 2026

How we collect these records

Editorial verdict

Pros & cons of Gemma

high confidence

Gemma is a good starting point when you want an open model you can run locally or fine-tune, with good tooling support and permissive licensing in the latest generation. Pick the size to match your hardware, and treat the small variants as edge models rather than replacements for large hosted ones.

Pros

  • Wide range of sizes, from edge models to a 31B model
  • Apache 2.0 license for Gemma 4 allows commercial use and modification
  • Works with Ollama, LM Studio, Hugging Face, PyTorch, JAX and Android tooling
  • Specialised variants for medical, safety and function-calling use cases

Cons

  • Weights only: you provide the hardware, serving stack and safety layer
  • Older generations such as Gemma 2 use different, more restrictive terms
  • Google's page warns the models can produce inaccurate or offensive content

Best for

  • Developers who want a self-hosted or on-device model with an Apache 2.0 license
  • Researchers and teams fine-tuning small and mid-sized open models
  • Mobile and edge projects that need a compact multimodal model

Not for

  • People who want a ready-made chat app rather than model weights
  • Teams that need the largest frontier-scale reasoning without running their own infrastructure

Watch out: Directories often list Gemma 2, which has been superseded; check the generation and its license before using a specific checkpoint. The terms changed to Apache 2.0 only with Gemma 4.

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