Google launches Gemma 4 12B, an encoder-free multimodal model — AIBriefs

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1 day ago

Google launches Gemma 4 12B, an encoder-free multimodal model

The 11.95B-parameter model runs locally on laptops with 16GB RAM, supporting text, audio, image, and video inputs via a novel encoder-free architecture. Early benchmarks show it nearly matches larger 26B models while enabling agentic workflows and on-device processing.

See what 3 builders are making with Gemma 41 day agoAmy Eisinger

Gemma 4 QAT models: Optimizing model compression for mobile and laptop efficiency5 days agoOmar Sanseviero

NVIDIA Accelerates Google DeepMind’s DiffusionGemma for Local AI11 hours agoMichael Fukuyama

DiffusionGemma: The Developer Guide10 hours ago

Bringing Gemma 4 12B to your Laptop: Unlocking Local, Agentic Workflows with Google AI Edge7 days ago

Introducing Gemma 4 12B: a unified, encoder-free multimodal model7 days agoGus Martins

Run DiffusionGemma on NVIDIA for Developer-Ready, High-Throughput Text Generation11 hours agoAnu Srivastava

DiffusionGemma: 4x faster text generation11 hours agoSebastian Flennerhag

Gemma 4 12B: The Developer Guide7 days ago

google/diffusiongemma-26B-A4B-it7 hours agogoogle

huihui-ai/Huihui-gemma-4-12B-it-abliterated3 days agohuihui-ai

unsloth/diffusiongemma-26B-A4B-it-GGUF6 hours agounsloth

OBLITERATUS/Gemma-4-12B-OBLITERATED2 days agoOBLITERATUS

google/gemma-4-12B-it-qat-q4_0-gguf4 days agogoogle

1 day ago

Google launches Gemma 4 12B, an encoder-free multimodal model — AIBriefs