The fastest way to get this model running locally is via Docker.
Use the instructions provided below to complete the setup.
The setup auto-streams the model assets (expect a multi-GB download).
You don’t need to tweak anything, as the installer will automatically pick the highest performing setup for you.
sam3 is a next‑generation 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‑of‑the‑art results in language understanding, image captioning, and speech synthesis, often surpassing its predecessors by over 10%. Its flexible API and low‑latency inference make it suitable for real‑time applications such as virtual assistants, content creation tools, and automated analytics platforms.
| Parameter Count | 12B |
|---|---|
| Context Length | 8K tokens |
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