Deploy Anima Windows 10 with 1M Context No-Code Guide

To install this model locally in the shortest time, opt for Docker.

Make sure to follow the instructions below.

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

🖹 HASH-SUM: eb82160bdf7188c5a8a567d84520a456 | 📅 Updated on: 2026-06-26



  • CPU: AVX2/AVX-512 instruction set required for llama.cpp
  • RAM: minimum 16 GB for stable 8B model loading
  • Disk Space: at least 100 GB for multiple local LLM variants
  • Graphics: TensorRT-LLM / vLLM inference engine compatible chip

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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