If you want the fastest local installation for this model, use Docker.
Follow the guidelines below to continue.
The system automatically triggers a cloud download for all heavy weights.
There is no manual tuning required; the builder will automatically deploy the best matching configuration.
sam3 is a next鈥慻eneration multimodal AI model designed to understand and generate text, images, and audio with unprecedented coherence. Built on a scalable transformer backbone, it leverages a hierarchical attention mechanism that allows it to capture both local details and global context efficiently. The model was trained on a diverse corpus of 5 trillion tokens, including code, scientific papers, and creative writing, which equips it with a broad knowledge base. Evaluated on standard benchmarks, sam3 achieves state鈥憃f鈥憈he鈥慳rt results in language understanding, image captioning, and speech synthesis, often surpassing its predecessors by over 10%. Its flexible API and low鈥憀atency inference make it suitable for real鈥憈ime applications such as virtual assistants, content creation tools, and automated analytics platforms.
| Parameter Count | 12B |
|---|---|
| Context Length | 8K tokens |
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