The AI divide putting open weights models in spotlight
…But Qwen 3.5, Google's Gemma 4 , and Microsoft's MAI speech and image models are a bit different. These models feel less like proofs of concept and more like enterprise…
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Google Gemma
Gemma is a family of open-weight language models released by Google for text generation and related NLP tasks.
Videos
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Gemma 4 12B Demo: Native Audio Processing in Google AI Edge Eloquent
Bring the power of on-device AI to life with Google AI Edge and Gemma
Gemma 4 Hits 200M+ Downloads: 3 Amazing Local Builds
Building android apps with Gemma 4 for AI coding assistance
Google just casually disrupted the open-source AI narrative…
DeepMind’s New AI: A Gift To Humanity
How to build on-device AI with Gemma 4
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Top 3 AI on Android updates for building intelligent experiences (Google I/O 2026)
Top stories
I tested Gemma 4, Qwen 3.5, and Ministral 3 for vision tasks, and only one understood the assignment
4d agoHugging Face and Cerebras bring Gemma 4 to real-time voice AI
1w ago
aws.amazon.com Amazon SageMaker AI now supports serverless model customization for Gemma 4 models - AWS
1w agoGemma 4's smallest model runs on 3GB of VRAM, and it's the one I actually reach for
1w agoOpen models stripped bare by safety-busting tools – Fudzilla.com
…A version of Google’s open-source Gemma 3 model gave harmful responses in areas where a properly guarded system should have shut the door. To be fair, they would have had…
NVIDIA 플랫폼에서 DiffusionGemma 실행하기: 개발자 친화적인 고처리량 텍스트 생성
["nvidia","google","nvidia-dgx-spark","google-gemma"]
I used my local LLM to sort hundreds of gaming clips, and it was the laziest solution that worked
["google-gemma"]
Discussions and forums
New Google Gemma 4 12B Claims Near-26B Performance - We Tested Both!
We ran both models locally on one RTX 4090 and gave each the same task: write a self-contained HTML5 canvas animation with real physics in one file without libraries. Three scenes - a Galton board, two blocks colliding o…
Google's new Gemma 4 12B model is designed to run on any laptop with 16GB of RAM | Gemma 4 12B uses a new encoding scheme and token prediction to punch above its weight.
Google's new Gemma 4 12B model is designed to run on any laptop with 16GB of RAM | Gemma 4 12B uses a new encoding scheme and token prediction to punch above its weight.
Google's new Gemma 4 12B model is designed to run on any laptop with 16GB of RAM
Google's new Gemma 4 12B model is designed to run on any laptop with 16GB of RAM
12
Gemma 4 MTP released
Blog post: https://blog.google/innovation-and-ai/technology/developers-tools/multi-token-prediction-gemma-4/ MTP draft models: https://huggingface.co/google/gemma-4-31B-it-assistant https://huggingface.co/google/gemma-4-…
Gemma 4 with quantization-aware training
Google's collections: https://huggingface.co/collections/google/gemma-4-qat-q4-0 https://huggingface.co/collections/google/gemma-4-qat-mobile And Unsloth's: https://huggingface.co/collections/unsloth/gemma-4-qat Unsloth'…
Local LLMs finally beat cloud AI for coding, automation, and brainstorming — here's which ones I use
…The native multimodal support that Google's open model comes with makes the Gemma family stand out. Instead of extracting any data using an OCR layer before asking questions, I can simply…
I tested Google’s upcoming Gemini Nano 4 — its faster, smarter AI isn’t what I expected
…By • April 11, 2026 • • • Add AndroidAuthority on Google Earlier this month, Google lifted the lid on its latest and most powerful Gemma 4 AI models that you can run on your own…
Google DeepMind opens Singapore research lab for Asia-Pacific AI.
["google","gemini","google-gemma"]
Lemonade 10.1 Released For Latest Improvements For Local LLMs On AMD GPUs & NPUs
["amd","ryzen","google-gemma"]
Vision Language Models (Better, faster, stronger)
…https://huggingface.co/blog/vlms Another striking model is gemma3-1b-it by Google DeepMind. It’s particularly exciting as it’s one of the smallest multimodal models to have 32k token…
I ran Gemma 4 (26B) on a 10-year-old-GPU, and it's reliable enough to replace the cloud
["nvidia","google-gemma","ollama"]