Launch Anima For Low VRAM (6GB/8GB)

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Launch Anima For Low VRAM (6GB/8GB)

The most efficient approach for a local installation is leveraging Docker containers.

Make sure to follow the instructions below.

An automated background process downloads all required large-scale files.

Once launched, the wizard detects your specs to configure the model for maximum efficiency.

📦 Hash-sum → 29012fc194f4fa4cc9896e6a2e5114b4 | 📌 Updated on 2026-07-04



  • CPU: multi-threading optimized for fast prompt processing
  • RAM: 64 GB to avoid OOM crashes on large contexts
  • Disk Space: 80 GB NVMe SSD required for fast model weights loading
  • GPU: RTX 4080 / RTX 4090 recommended for 26B-A4B fast inference

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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