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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…
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Top stories
I ran Gemma 4 and Qwen 3.5 for the same local tasks, and one pulled miles ahead
…Gemma 4 is Google's open-weight family with four sizes - the E2B and E4B edge variants made for phones and laptops, plus the bigger 26B MoE and 31B dense models. The…
Gemma 4 E4B is small enough to run anywhere, but powerful enough to handle typical LLM workloads
["google-gemma","raspberry-pi"]
I finally found an open-source local LLM that actually competes with cloud AI
…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…
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…
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1
I tested Gemma 4, Qwen 3.5, and Ministral 3 for vision tasks, and only one understood the assignment
…It handles image, text, video, and audio inputs, and it uses the MobileNet-V5 vision encoder from the Gemma 3n line, which is a lightweight setup meant for on-device work. Google…
Gemma 4's smallest model runs on 3GB of VRAM, and it's the one I actually reach for
…Subscribe by modifying your newsletter preferences ! Google built a model that fits almost everywhere And the small footprint comes from the architecture, not by compromising on brain power Gemma 4 E2B is…
Gemma 4 E2B proves Raspberry Pi-sized LLMs don't have to be terrible anymore
["google-gemma","raspberry-pi","llms"]
I put Google's Gemma 4 on my homelab and Tailscale on my phone — and cancelled Claude Pro
…Then Google announced Gemma 4, and the reasons I'd left local AI behind began to fade. Not because it beats Claude Pro — it wasn’t even close — but because it replaced…
I ran Gemma, Llama, and Qwen on my phone, and only one of them is worth the storage
…Gemma 4 E2B Starting with what I already knew Gemma 4 E2B is Google's edge-first model, designed from the start to actually run on a phone rather than being shrunk…
Google Unveils Coral Board for Local AI and Edge Computing
…A major highlight of the launch was Google's demonstration of the Gemma 3 270M language model running locally on the Coral Board. By performing inference on-device, the system can continue…