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# Google says Gemma has passed a billion downloads

**[The Next Web](https://daily.dev/sources/tnw)** · 5 min read · 0 upvotes · 0 comments

## Summary

Google says its Gemma family of open models has surpassed a billion downloads and 100,000 community-published variants over two years, though it hasn't disclosed methodology, platform breakdown, or whether Android and Chrome integrations are included (a Google engineer confirmed they are not). The post details use cases including satellite deployments with NASA, Satlyt and Starcloud, a medical toolkit integrated into India's Aarogya Setu 2.0 health app, a cancer pathway discovery claim via the C2S-Scale model, MedGemma clinical applications, and a new Awesome Gemma GitHub repository. The figures are compared against rival Alibaba's Qwen, which claimed 3 billion downloads and over 300,000 derivatives five days earlier, with Hugging Face independently counting 2,045 million Qwen downloads and 151,448 derivatives.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://thenextweb.com/news/google-gemma-one-billion-downloads-gemmaverse-variants>

## Questions this post answers

### How many downloads does Google claim for its Gemma open models?

Google says Gemma has passed one billion downloads and more than 100,000 community-published variants over two years, an ecosystem it calls the Gemmaverse. A Google developer relations engineer noted this total excludes Android and Chrome integrations, and Google has not disclosed which platforms are counted or how variants were tallied.

_Track how open-model download claims stack up by following AI ecosystem milestones on daily.dev._

### How does Gemma's download count compare to Alibaba's Qwen?

Alibaba claimed Qwen passed 3 billion downloads and over 300,000 derivatives, roughly triple Google's Gemma figures of 1 billion downloads and 100,000 variants. Independently, Hugging Face's State of Open Models report counted 2,045 million Qwen downloads and 151,448 Qwen-based derivatives on its hub within a single year, figures that don't capture API usage or private deployments.

_Compare open-model adoption trends like Gemma versus Qwen through daily.dev when evaluating which model ecosystem to build on._

---

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

[View this post on daily.dev](https://daily.dev/posts/google-says-gemma-has-passed-a-billion-downloads-zcegsnimj)

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