How to Launch Anima

Deploying this model locally is quickest when done via Docker.

Follow the sequence of steps detailed below.

The installer automatically pulls the model (could be multiple GBs).

To guarantee smooth performance, the installation process auto-selects the best possible options for your PC.

🔍 Hash-sum: 57fb094d24a5699dd44ff1babd5134ff | 🕓 Last update: 2026-06-22



  • CPU: 8-core / 16-thread recommended for orchestration
  • RAM: required: 16 GB absolute minimum for small models
  • Disk Space: free: 80 GB on system drive for scratch space
  • 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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