Deploy Anima Windows 11 Quantized GGUF Complete Walkthrough

Deploy Anima Windows 11 Quantized GGUF Complete Walkthrough

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

Follow the step-by-step instructions below.

1-click setup: the app automatically fetches the large weight files.

There is no manual tuning required; the builder will automatically deploy the best matching configuration.

📤 Release Hash: c333a79a9462ccff52f8000c8dcccff4 • 📅 Date: 2026-06-23



  • Processor: 4.0 GHz+ boost clock recommended for CPU inference
  • RAM: high-speed DDR5 memory preferred for CPU offloading
  • Disk: high-speed SSD 120 GB to cache model layers
  • Graphics: CUDA Compute Capability 8.0+ required for flash-attention

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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