Storia in 12 fonti

Gemma 4 12B: The Developer Guide- Google Developers Blog

Meet Gemma 4 12B: the first medium-sized, encoder-free multimodal model capable of natively ingesting audio and video. Ideal for local AI development with 16GB VRAM, Hugging Face integrations, and drop-in local API servers.

Raccontata da

developers.googleblog.com

blog.google

newsletter.maartengrootendorst.com

Confronto fonti

6 prospettive sulla stessa storia

AI · summaries

developers.googleblog.comStai leggendo3 mesi fa

Gemma 4 12B: The Developer Guide- Google Developers Blog

originale

Timeline cronologica

mercoledì 3 giugno 2026·developers.googleblog.com
Gemma 4 12B: The Developer Guide- Google Developers Blog
Meet Gemma 4 12B: the first medium-sized, encoder-free multimodal model capable of natively ingesting audio and video. Ideal for local AI development with 16GB VRAM, Hugging Face…
mercoledì 3 giugno 2026·blog.google
Introducing Gemma 4 12B: a unified, encoder-free multimodal model
An overview of Gemma 4 12B, a model designed to bring high-performance multimodal intelligence directly to your laptop.

Gemma 4 12B: The Developer Guide- Google Developers Blog

Confronto fonti

Gemma 4 12B: The Developer Guide- Google Developers Blog

Timeline cronologica

Gemma 4 12B: The Developer Guide- Google Developers Blog

Introducing Gemma 4 12B: a unified, encoder-free multimodal model

Gemma 4 12B: Google's encoder-free multimodal AI now runs on a laptop

Google DeepMind Releases Gemma 4 12B: An Encoder-Free Multimodal Model with Native audio that runs on a 16 GB…

Introducing Gemma 4 12B: a unified, encoder-free multimodal model

Google Deepmind's Gemma 4 12B squeezes multimodal AI onto a laptop with just 16 GB of RAM

Google's new Gemma 4 open AI model is sized for your laptop

A Visual Guide to Gemma 4 12B

Google DeepMind Releases Gemma 4 12B: An Encoder-Free Multimodal Model with Native audio that runs on a 16 GB laptop

Google's new open source Gemma 4 12B analyzes audio, video — and runs entirely locally on a typical 16GB enterprise laptop

Google's new Gemma 4 12B model is designed to run on any laptop with 16GB of RAM

Google's new Gemma 4 open AI model is sized for your laptop

Google Deepmind's Gemma 4 12B squeezes multimodal AI onto a laptop with just 16 GB of RAM

Google brings local AI agents to laptops with Gemma 4 12B

Gemma 4 12B Is Google's Biggest Bet on Local Multimodal AI Yet

Google launches Gemma 4 AI model designed for laptops

Google Just Shipped an Encoder-Free Multimodal Model That Runs on Your Laptop

Google’s Gemma 4 12B Shows AI Race Moving to Edge Devices

Gemma 4 QAT models: Optimizing model compression for mobile and laptop efficiency

Gemma 4 12B, il modello Google pensato per PC con 16 GB di RAM

Gemma 4 makes on-device multimodal AI good enough to ship

Gemma 4 12B: Google's encoder-free multimodal AI now runs on a laptop