How to Launch Anima on AMD/Nvidia GPU One-Click Setup Complete Walkthrough Windows

July 10, 2026 · by · in GPTQ

The fastest method for installing this model locally is by using Docker.

Follow the guidelines below to continue.

The framework seamlessly downloads the massive neural network binaries.

The deployment tool scans your environment and chooses the ideal parameters.

📊 File Hash: 2e4380e44fca73488d4f4c3d3d819b2a — Last update: 2026-07-09
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  • Processor: 4.0 GHz+ boost clock recommended for CPU inference
  • RAM: enough space for background apps and OS overhead
  • Disk Space: required: fast PCIe 4.0 drive for instant boots
  • Graphic Processor: RTX 3060 or RX 6600 for minimum 8B VRAM offloading

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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