Models & Labs
Launch of Gemma 4 Model Family
Sam Witteveenmedium confidence
Why it matters
- →The introduction of the Gemma 4 models enhances the toolkit available for developers working with AI, particularly in multimodal applications.
The Gemma 4 family of models has officially launched, introducing four models that incorporate both multilingual and multimodal features. This release includes two smaller models and two larger ones, enhancing capabilities in areas such as audio, image, and video processing, as well as function calling. The models are designed to support a range of applications, making them versatile tools for developers. This launch signifies a step forward in the development of advanced AI models that can handle diverse types of data and tasks.
Read originalThe story around this
Earlier coverage that leads up to this article, and what followed. Lines connect each piece to the closest one after it, converging here.
What happened next
- 1
More from Sam Witteveen
More in Models & Labs
Models & Labsother
llama.cpp b11193 adds Snapdragon Hexagon and ROCm 10
This release quietly expands llama.cpp's hardware support to include Qualcomm's Hexagon NPU on Linux arm64, a significant step for local inference on Snapdragon devices. It also updates CUDA builds to version 13.4 and introduces ROCm 10.0 binaries, keeping the project aligned with the latest NVIDIA and AMD driver ecosystems. KleidiAI on Apple Silicon is temporarily disabled in this build, likely due to stability checks rather than a feature rollback. For developers targeting edge AI or diverse GPU stacks, this update ensures broader compatibility without requiring custom compilation.
llama.cpp Releases
© Lev SelectorModels & Labsmodels
NVIDIA NVFP4 and SoL-Pi Token Efficiency
NVIDIA introduced the NVFP4 4-bit format and SoL-Pi technology, which uses 2x fewer tokens for improved efficiency.