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Google Gemma

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Gemma is a family of open-weight language models released by Google for text generation and related NLP tasks.

ContextXDA-Developersr/LocalLLaMAView all sources →
Limited signal. This briefing is built from 2 sources — treat the summary as preliminary, not a comprehensive newsroom report.

Also known as gemma 2·gemma 3·gemma 4·gemma 3n·gemma 4 mtp

0.8 Activity score steady
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2 Sources · 3 signals
Last updated · next ~18:00
Key Takeaway I tested Gemma 4, Qwen 3.5, and Ministral 3 for vision tasks, and only one understood the assignment
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SourcesXDA-DevelopersView all sources →
gemma 2 gemma 3 gemma 4 gemma 3n gemma 4 mtp
Neutral 45/100
AI Brief

I tested Gemma 4, Qwen 3.5, and Ministral 3 for vision tasks, and only one understood the assignment

Gemma is a family of open-weight language models released by Google for text generation and related NLP tasks.

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XDA-Developers · 2d ago
I tested Gemma 4, Qwen 3.5, and Ministral 3 for vision tasks, and only one understood the assignment

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xda-developers.com

I tested Gemma 4, Qwen 3.5, and Ministral 3 for vision tasks, and only one understood the assignment

One of these read the picture, the other two guessed

2d ago Nolen Jonker
aws.amazon.com

Amazon SageMaker AI now supports serverless model customization for Gemma 4 models - AWS

Discover more about what's new at AWS with Amazon SageMaker AI now supports serverless model customization for Gemma 4 models

9d ago Amazon Web Services
xda-developers.com

I dumped 650K DNS records into Gemma, and it found patterns my dashboard completely missed

Every device has something to hide.

4d ago Shekhar Vaidya
huggingface.co

Hugging Face and Cerebras bring Gemma 4 to real-time voice AI

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

7d ago Amir Mahla

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Gemma 4 Hits 200M+ Downloads: 3 Amazing Local Builds Google Gemma 4 12B Demo: Native Audio Processing in Google AI Edge Eloquent Google for Developers How to build on-device AI with Gemma 4 Android Developers Building android apps with Gemma 4 for AI coding assistance Android Developers Bring the power of on-device AI to life with Google AI Edge and Gemma Google for Developers Google just casually disrupted the open-source AI narrative… Fireship

Discussions on the web

Recent threads on Reddit and Hacker News that mention Google Gemma.

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Hacker News · u/arun-prasath · 

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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Hacker News · u/fidotron · 

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

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Hacker News · u/Bender · 

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

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People also ask

Common questions on Google Gemma, surfaced from across the indexed web.

How does MTP improve Gemma 4?

The process uses a technique called “Speculative Decoding,” in which the drafter models predict upcoming words in the prompt even before the main Gemma model has read through it. While the drafter moves on to the next sequence of words, the main model verifies the predicted set of words at the same time.

Google's latest trick gets Gemma 4 running 3x faster right on your phone
Which local AI models can do this?

The good news is that you don't need a massive, GPU-melting frontier model for this workflow. Smaller models are perfectly capable of identifying missing context and asking useful follow-up questions. Popular options include lightweight open models like Google's Gemma 4, Meta's Llama 4 Scout, Microsoft's Phi-4, and compact models from Mistral and Qwen. These models are readily available as mentioned through tools like LM Studio and GPT4All, running comfortably on standard consumer hardware.

Tired of burning through expensive ChatGPT usage limits just to get mediocre answers? Try the free ‘local AI’ trick that unlocks the perfect prompt every single time
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