google-deepmind

    google-deepmind/gemma

    Gemma open-weight LLM library, from Google DeepMind

    llm
    Python
    Apache-2.0
    5.8K stars
    1.0K forks
    5.8K GitHub watchers
    Updated Nov 3, 2026
    View on GitHub

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    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    No releases in the last 90 days; the most recent was 167 days ago, with 36 contributors on GitHub.

    Gained 58% fewer stars in the last 90 days than in the 90 days before.

    Use Cases & Benefits

    • Provides an open-weight Large Language Model library implemented in JAX for using and fine-tuning Gemma LLMs.
    • Enables multi-turn, multi-modal conversations and fine-tuning with efficient JAX-based tooling and open model weights.
    • Use for building advanced chatbots that handle text and images in multi-turn dialogues.
    • Use for fine-tuning large language models on custom datasets using provided scripts and LoRA techniques.
    • Use for research and experimentation with open-weight LLMs on CPU, GPU, or TPU hardware.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    Apache 2.0

    Permissive: commercial use, modification and redistribution are allowed with attribution; includes an explicit patent grant from contributors.

    Community files

    • README: present
    • Contributing guide: present

    Watch-outs

    No watch-outs from GStars' checks.

    General guidance from repository metadata, not legal advice. How we score

    From the README

    Gemma is a family of open-weights Large Language Model (LLM) by Google DeepMind, based on Gemini research and technology.

    This repository contains the implementation of the gemma PyPI package. A JAX library to use and fine-tune Gemma.

    For examples and use cases, see our documentation. Please report issues and feedback in our GitHub.

    Here is a minimal example to have a multi-turn, multi-modal conversation with Gemma:

    Our documentation contains various Colabs and tutorials, including:

    Additionally, our examples/ folder contain additional scripts to fine-tune and sample with Gemma.

    Excerpt from the google-deepmind/gemma README on GitHub (Apache-2.0 license). © its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Forks

    1.0K+29

    Open issues

    338+30

    Compared with peers in LLM

    Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth

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