How to Autostart Anima Locally via Ollama 2 with Native FP4

How to Autostart Anima Locally via Ollama 2 with Native FP4

The most rapid route to a local installation of this model is through WSL2.

Please follow the instructions listed below to get started.

The process automatically pulls down gigabytes of critical model assets.

The configuration wizard runs silently to set up the model for peak performance.

📎 HASH: f26fa91bb900c21a778e572cadd5b149 | Updated: 2026-06-25



  • CPU: multi-threading optimized for fast prompt processing
  • RAM: fast 5600MHz+ required to avoid memory bottlenecks
  • Disk Space: free: 80 GB on system drive for scratch space
  • GPU: high memory bandwidth GPU for next-gen local AI pipeline

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.

Technical specifications
Parameter Value
Model size 12 B parameters
Training data 1.5 trillion tokens
Inference latency <5 ms
Supported modalities Text, Image, Audio
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