CPU: modern architecture (Zen 3 / Alder Lake minimum)
RAM: 32 GB or higher for smooth 32k context lengths
Disk Space: required: fast PCIe 4.0 drive for instant boots
Graphic Processor: hardware Tensor Cores support needed for FP16 acceleration
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
Script downloading custom cross-encoders for local RAG reranking stages
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Script downloading background removal masks for offline photo production pipelines layouts
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Installer setting up SillyTavern frontend connection to local backends
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The most rapid route to a local installation of this model is through WSL2.
Review and follow the instructions below.
The installer automatically pulls the model (could be multiple GBs).
The installer will automatically analyze your hardware and select the optimal configuration.
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.
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