Quick Run Anima on Copilot+ PC with Native FP4

Setting up this model locally is incredibly fast if you use the native CMD prompt.

Go through the configuration rules shown below.

The script takes care of fetching the multi-gigabyte model weights.

An automated hardware sweep ensures the system will select the best tuning parameters.

🛡️ Checksum: 8b2068f82c8ac74cba81c5f39faef2f5 — ⏰ Updated on: 2026-07-06



  • CPU: multi-threading optimized for fast prompt processing
  • RAM: required: 16 GB absolute minimum for small models
  • Storage:100 GB free space for HuggingFace cache folder
  • Graphics: 12 GB VRAM minimum required for basic quantization

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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