Meta AI/Any-to-AnyMajor release
Meta's Muse Spark Open Targets Agentic Coding
The new open-weight model pairs a million-token context window with Meta's bet on long-horizon coding agents.
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The new open-weight model pairs a million-token context window with Meta's bet on long-horizon coding agents.
The open-weight model pairs a million-token context window with a focus on long-horizon code tasks.
The 816B-parameter mixture-of-experts model activates just 42B per token and targets agentic coding across a million-token context.
A 30-billion-parameter multimodal model built to run locally, released under Apache 2.0 with an eye on agentic coding workflows.
The latest Segment Anything Model extends Meta's mask-generation lineage from still images into video, now available on Hugging Face.
The self-supervised feature extractor arrives on Hugging Face as a general-purpose backbone for downstream vision tasks.