---
title: "google-deepmind/recurrentgemma: Open weights language model from Google DeepMind, based on Griffin."
url: https://daily.dev/posts/google-deepmind-recurrentgemma-open-weights-language-model-from-google-deepmind-based-on-griffin--oj1zsn2be
source_url: https://github.com/google-deepmind/recurrentgemma
type: article
source: "Hacker News"
published: 2024-04-11T01:26:15.144Z
updated: 2024-05-09T08:43:33.910Z
tags: ["google-deepmind"]
reading_time: 3
upvotes: 0
comments: 0
language: en
---

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# google-deepmind/recurrentgemma: Open weights language model from Google DeepMind, based on Griffin.

**[Hacker News](https://daily.dev/sources/hn)** · 3 min read · 0 upvotes · 0 comments

## Summary

RecurrentGemma is an open-weights Language Model by Google DeepMind based on the novel Griffin architecture. It achieves fast inference when generating long sequences by using a mixture of local attention and linear recurrences. The Flax implementation is recommended for most users. The repository includes the model implementation, examples for sampling and fine-tuning, and dependency management with Poetry.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://github.com/google-deepmind/recurrentgemma>

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---

Tags: [#google-deepmind](https://daily.dev/tags/google-deepmind)

[View this post on daily.dev](https://daily.dev/posts/google-deepmind-recurrentgemma-open-weights-language-model-from-google-deepmind-based-on-griffin--oj1zsn2be)