The most rapid route to a local installation of this model is through WSL2.
Please follow the instructions listed below to get started.
Everything happens automatically, including the heavy cloud asset download.
The installer will automatically analyze your hardware and select the optimal configuration.
Anima is a next‑generation AI model designed to deliver ultra‑low latency inference across a wide range of applications. Built on a scalable neural architecture, it combines deep contextual understanding with real‑time processing capabilities. The model excels in multimodal tasks, seamlessly handling text, images, and audio with a unified representation space. Its training pipeline leverages massive curated datasets and advanced optimization techniques to achieve state‑of‑the‑art performance while maintaining energy efficiency. Anima’s modular design enables developers to fine‑tune and deploy the system on diverse hardware platforms, from edge devices to cloud infrastructures.
| Parameter | Value |
|---|---|
| Model size | 12 B parameters |
| Training data | 1.5 trillion tokens |
| Inference latency | <5 ms |
| Supported modalities | Text, Image, Audio |
- Script downloading IP-Adapter-FaceID weights for local consistent character pipelines
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- Downloader pulling specialized offline translation models for LibreTranslate network cluster nodes
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- Script downloading custom layer weight arrays for experimental model merges
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- Downloader pulling custom sentiment mapping checkpoints for offline data intelligence
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