recurrentgemma
Open weights language model from Google DeepMind, based on Griffin
GraphCanon updated Oct 12, 2026 · GitHub synced Oct 12, 2026
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Decision brief
RecurrentGemma is an open-source language model from Google DeepMind, utilizing the Griffin architecture and supporting JAX and PyTorch for efficient neural network training and inference on TPUs, CPUs, and GPUs.
Good fit when
- If you require high efficiency in neural network training or inferencing specifically optimized for TPUs using the Flax implementation
- When your project demands flexibility with support across various deep learning frameworks like JAX and PyTorch
Avoid when
- Do not use if your infrastructure does not support TensorFlow, since RecurrentGemma optimizes efficiency mostly on TPUs which are tightly coupled with TensorFlow's ecosystem
- Avoid using this tool if you are working in a restricted environment where setting up virtual environments with tools like Poetry or manually managing dependencies with pip is challenging
- Requirements:
- Optimized for TPU using the Flax implementation.; Supports CPU and GPU environments via JAX and PyTorch.
Observed Jul 14, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Slowing (247d since push)
- As of Oct 12, 2026
- Provenance
- Not a fork · Organization account
- As of Oct 12, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install recurrentgemmaSimilar tools
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
RecurrentGemma is an open source language model project that supports various deep learning frameworks like JAX and PyTorch. The primary focus is on efficient neural network training and inference on TPUs, CPUs, and GPUs.
Capability facts
- Languages
- python
Source: github.language+pyproject.toml · Oct 12, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Oct 12, 2026)
RecurrentGemma uses [Poetry](https://python-poetry.org/docs/) for dependencySource link
Tags
README
Installation Using Poetry RecurrentGemma uses Poetry for dependency management. To install dependencies for the full project: Checkout the code. to create a virtual environment with all dependencies. to activate the created virtual environment. If you only need to install a subse...
For agents
This page has a .md twin and JSON over the API.