Gemma 4 12B is live! 🚀 An encoder-free multimodal model (text/img/audio) for local 16GB laptops. Elite reasoning nearing 26B MoE in half the size, fast, and open (Apache 2.0). This is the main reason I was not posting much!! Glad it is launched!! blog.google/innovation-a...
Introducing Gemma 4 12B: a unified, encoder-free multimodal model blog.google
AI Weekly's analysis
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- The 35M-parameter vision embedder replaces 27 vision transformer layers, keeping the full model inside 16GB with complete image and audio understanding.
- Audio projects from raw 16 kHz waveforms in 40ms frames directly to the LLM backbone, bypassing any separate ASR encoder used in competing designs.
- Single-pass LoRA fine-tuning updates vision, audio, and text weights simultaneously, eliminating the engineering overhead of co-tuning frozen encoders.
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96d ago
This is a great use of Gemma! having an open model running at +1000 tokens per second can enable some pretty cool use cases! The voice assistant is a good one, but I'm sure there are many others! huggingface.co/blog/cerebra...
Hugging Face and Cerebras bring Gemma 4 to real-time voice AI huggingface.co
AI Weekly's analysis
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- Hugging Face and Cerebras have shipped an open cascaded speech-to-speech pipeline chaining Nvidia's Parakeet, Google DeepMind's Gemma 4 VLM on Cerebras, and Alibaba's Qwen3TTS.
- The pitch focuses on P95 tail latency stability, not median speed, arguing that occasional multi-second stalls are what break conversational voice apps.
- Hugging Face says the same pipeline already powers more than 9,000 Reachy Mini robots in the wild, giving the demo a real deployment story.
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67d ago
great post about AI trends specifically mentioning the Gemma 4 success!! 🤩 www.interconnects.ai/p/some-ideas...
Some ideas for what comes next, May 2026 interconnects.ai
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103d ago
1B Gemma downloads! 🎉🚀🤩 blog.google/innovation-a... Fun fact: this doesn't count Android and Chrome integrations!
Inside the Gemmaverse: Celebrating one billion Gemma downloads blog.google
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17d ago
👁️ Vision Options: Want to make Gemma see even better? The default vision bucket is 280 for token efficiency. To capture maximum detail (like sharp OCR and 2.51MP resolution), manually bump max_soft_tokens to 1120! Try our new interactive Space to see how it works: huggingface…
Gemma 4 - Vision Token Budget - a Hugging Face Space by google huggingface.co
AI Weekly's analysis
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- The Space lets users toggle Gemma 4's per-image budget across five preset sizes: 70, 140, 280, 560, and 1120 tokens.
- Gemma 4 launched April 2, 2026 under Apache 2.0 across E2B, E4B, 12B Unified, 26B A4B MoE, and 31B dense sizes.
- The 31B model reportedly hits 76.9% on MMMU Pro and 85.6% on MATH-Vision, with native JSON bounding box output.
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Gus reposted
Dare Obasanjo
@carnage4life.bsky.social
Gemini now has 1B monthly users, their 14th app to do so, and hit that milestone faster than any other app in its history. The impressive part is this is just counting users of the Gemini app or website, not the integration into their various Workspace apps.
Gemini becomes Google's fastest-growing product ever as it hits 1B users arstechnica.com
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I've been playing all day with Hugging Face Chat + Gemma 4 31B (deployed on Cerebras at +1000 tokens per second) and I'm still surprised how amazing it is!! I play with Gemma models basically everyday and this integration + speed still surprised me! take a look: huggingface.co…
google/gemma-4-31B-it - HuggingChat huggingface.co
🫂 A huge shoutout to the community for submitting fixes and finding new ways to make Gemma even better. We couldn't do this without you! ❤️ 🤗 Ready to test the speedup? Download the latest Gemma 4 updates now on Hugging Face: huggingface.co/collections/...
Gemma 4 - a google Collection huggingface.co
Really neat open-source build: Standup Pulse runs async Slack standups local-first using Gemma 4 26B MoE on llama.cpp. Mastra handles typed tools, CopilotKit handles Block Kit, and your team updates never leave the machine. soverius.ai/blog/buildin...
Building a local-first AI standup bot for Slack soverius.ai
