The fastest method for installing this model locally is by using Docker.
Check out the detailed setup guide below to begin.
The process automatically pulls down gigabytes of critical model assets.
There is no manual tuning required; the builder deploys the best matching configuration.
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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