The fastest tactical way to launch this model locally is via a Docker image.
Use the instructions provided below to complete the setup.
The installer automatically pulls the model (could be multiple GBs).
The deployment tool scans your environment and chooses the ideal parameters.
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 hardware-agnostic universal model format files
- Anima Locally via Ollama 2 Quantized GGUF
- Script automating visual encoder weight downloads for advanced multi-modal vision tasks
- How to Autostart Anima Locally (No Cloud) with 1M Context Offline Setup
- Downloader pulling compact executive summary models for processing local file vaults
- How to Run Anima Windows 11 Step-by-Step