I tested 3 local LLMs on my actual work — and each model won at something different
…Related Google's Gemma 4 isn't the smartest local LLM I've run, but it's the one I reach for most Google's newest Gemma 4 models are both powerful…
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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.
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"Opus 4.8 thinks too much", "Muse Glimmer sits between Gemma and Qwen, that's boring", "Gemma 4 is too lazy"
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Gemma Translator: offline DIY translation device built with Gemma 4 + Antigravity
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…
How to build on-device AI with Gemma 4
Build intelligent Android apps with Google's AI
Top 3 AI on Android updates for building intelligent experiences (Google I/O 2026)
Google Cloud Live: Accelerate data science and analytics with GPUs
Top stories
I tested every tiny local LLM worth running, and only three survived the cut
…Subscribe by modifying your newsletter preferences ! Google's smallest edge models Tiny footprint, but punches above its weight Gemma 4 E2B is the smallest variant in Google's Gemma 4 family, which…
Google DeepMind opens Singapore research lab for Asia-Pacific AI.
["google","gemini","google-gemma"]
I let two local LLMs fight over how to optimize a Linux VM, and they destroyed it instead
["google-gemma","proxmox"]
Discussions and forums
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 for Telephony: From Two AI Models to One – Until I Switched to Chinese
Gemma 4 for Telephony: From Two AI Models to One – Until I Switched to Chinese
4
Show HN: Running Gemma-4 26B at 124 tokens/SEC on a CPU, no GPU
I wanted to know how fast a 26B mixture-of-experts model could run on a desktop CPU with no GPU. Got ~40 tok/s single-stream (lossless) and ~124 batched. The surprising part was the byte budget: for this model you compre…
10
1
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…
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…
Lemonade 10.1 Released For Latest Improvements For Local LLMs On AMD GPUs & NPUs
["amd","ryzen","google-gemma"]
Cloudflare can remember it for you wholesale
…Claude Sonnet 4.6 also has a 1M context window, but it holds ~750,000 words or ~3.4 million Unicode characters because it relies on a different tokenizer. Google's Gemma…
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…
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…