If you want the fastest local installation for this model, use Docker.
Follow the guidelines below to continue.
The installer automatically pulls the model (could be multiple GBs).
Once launched, the setup wizard will detect your specs to configure the model for maximum efficiency.
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 |
- Downloader pulling lightweight specialized models for edge device testing
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- Downloader pulling multi-platform standardized model formats for universal client execution loops
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- Installer configuring automated VRAM defragmentation scheduling for persistent WebUIs
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- Installer bundling automated model pruning and compression utilities
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- Setup tool updating local miniconda environments for running PyTorch 2.6+ scripts
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- Installer configuring privateGPT setups using advanced multi-backend tensor parallelism
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