Google Gemma (@googlegemma)
@googlegemma
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Meet the Gemma Translator! A fully offline device powered by Gemma 4 E2B built with @Antigravity.
Running entirely on a Raspberry Pi 5 with a connected microphone and speaker, this highly portable prototype is housed inside a custom, 3D-printed case.
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This week, Gemma surpassed 900 million downloads! 🎉
All the way from Gemma 1 and ShieldGemma to MedGemma and Gemma 4, we'll keep supporting open source. More to come!
Hugging Face Gemma Challenge results are in! 📈
Over 6 days, more than 100 AI agents and humans collaborated to make Gemma 4 inference 5x faster on a single NVIDIA A10G GPU.
- Fastest result: 491.8 TPS (fastest overall, but resulted in a drop in model quality in other areas)
- Fastest lossless: 315 TPS
A great example of what humans and agents can achieve when they work together.
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Just dropped: The Gemma 4 Technical Report!
Dive into the decisions behind our latest open-weight multimodal models, Gemma 4 (E2B–31B). Discover details on how the Gemma team approaches architecture, efficiency and responsibility. The report also covers the recent encoder-free 12B variant, quantization-aware training and multi-token prediction (MTP) drafters.
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Gemma 4 just hit 200M downloads in only 2.5 months!
For context, total downloads across the entire Gemma family of models were at 100M when we launched Gemma 3. The community's acceleration is incredible. Thank you to everyone building with Gemma.
Watch how developers are driving real-world impact:
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16 parallel runs of Gemma 4 26B A4B on a single NVIDIA DGX Spark!
Pushing 18 tok/s per instance and a 300 tok/s aggregate. It can even hit 32 parallel runs.
This level of concurrency highlights how efficient the architecture is.
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Teamwork makes the dream work. Now running locally.
Watch Gemma 4 26B orchestrate 10 parallel sub-agents to code an SVG art gallery in seconds. Hitting 100+ tokens/sec, imagine how you can scale this for complex tasks or local chatbots for entire teams!!
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Want to teach Gemma to master chess?
Check out this awesome community project showing how to fine-tune Gemma 4 12B on your own data, 100% locally!
Running text, images, and audio on just 8GB VRAM makes custom models more accessible than ever.
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Introducing Magenta RealTime 2, a new open model musicians can play as an instrument!
Run low-latency, live music synthesis natively on your MacBook using MIDI, text, and audio. 🎶
We love seeing Google’s open model ecosystem grow!
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Meet Gemma 4 12B!
A unified, encoder-free multimodal model designed to bring high-performance intelligence directly to your laptop, and released under an Apache 2.0 license.
Bridging the gap between edge efficiency and advanced reasoning. Here is what’s new with Gemma 4 12B: 👇
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