Deploy Anima Using Pinokio

Deploy Anima Using Pinokio

The most rapid route to a local installation of this model is through Docker.

Use the instructions provided below to complete the setup.

No manual effort needed; the setup auto-ingests the large data.

During setup, the script automatically determines and applies the best settings tailored to your machine.

πŸ”§ Digest: 45162b68bd767124cff1481a080f0d0b β€’ πŸ•’ Updated: 2026-06-28



  • CPU: 8-core / 16-thread recommended for orchestration
  • RAM: at least 32 GB in dual-channel mode for bandwidth
  • Disk Space: required: fast PCIe 4.0 drive for instant boots
  • 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 12β€―B parameters
Training data 1.5β€―trillion tokens
Inference latency <5β€―ms
Supported modalities Text, Image, Audio
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