How to Deploy Anima Windows 11 Easy Build

Docker offers the quickest path to setting up this model locally.

Refer to the instructions below to proceed.

Upon execution, you will launch an all-in-one local companion tailored for autonomous agents, conversational tasks, and instant data processing.

📄 Hash Value: 84875814aab927817e368f3e151156f3 | 📆 Update: 2026-06-24



  • CPU: multi-threading optimized for fast prompt processing
  • RAM: enough space for background apps and OS overhead
  • Disk Space: at least 100 GB for multiple local LLM variants
  • Graphics: TensorRT-LLM / vLLM inference engine compatible chip

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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