Muse Spark 1.1
Muse Spark 1.1 is a multimodal reasoning model built for agentic tasks, with strengths in tool use, computer use, coding, and multimodal understanding. It manages a 1 million token context window and orchestrates multi-agent systems for complex, long-running projects.
- Type
- Multimodal
- Weights
- Open
More from Meta Platforms
11
-
Brain2Qwerty v2
Multimodal
End-to-end deep learning pipeline that decodes text in real time from non-invasive magnetoencephalography (ME…
-
Canopy Height Maps v2
Image
Canopy Height Maps v2 (CHMv2) is a global, meter-resolution tree canopy height mapping system built from high…
-
CM3leon
Image
AI model by Meta Platforms
-
Code Llama
Text
AI model by Meta Platforms
-
DexWM (Dexterous Interaction World Model)
Multimodal
DexWM is a dexterous interaction world model for learning hand-object interactions from human videos. It pred…
-
DINOv2
Image
DINOv2 is a self-supervised Vision Transformer developed by Meta AI that learns general-purpose visual featur…
-
DINOv3
Image
DINOv3 is a self supervised computer vision model from Meta that produces universal image backbones without u…
-
Emu Video
Video
AI model by Meta Platforms
About Meta Platforms
1
We're connecting people to what they care about, powering new, meaningful experiences, and advancing the state-of-the-art through open research and accessible tooling.