Anima Offline on PC with Native FP4

Anima Offline on PC with Native FP4

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

Review and follow the instructions below.

During setup, the script automatically determines and applies the best settings tailored to your machine.

📄 Hash Value: 14f4969f50d71cae97327a7bd5b4ac3f | 📆 Update: 2026-06-28



  • CPU: modern architecture (Zen 3 / Alder Lake minimum)
  • RAM: required: 16 GB absolute minimum for small models
  • Storage: extra room for future model updates and datasets
  • GPU: 16 GB+ video memory highly recommended for exl2 / AWQ formats

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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