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Jeux Free-to-play Tryll Assistant - Nvidia CUDA support
Tryll Assistant - Nvidia CUDA support: illustration d’en-tête
Free-to-play · Tryll Engine Inc.

Tryll Assistant - Nvidia CUDA support

Tryll Assistant - Nvidia CUDA support
Windows
No user reviews · 0% of 0
DéveloppeurTryll Engine Inc.

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About this game

What this game is, in the developer's words

Tryll Assistant - NVIDIA CUDA Support This DLC enables GPU acceleration for Tryll Assistant using NVIDIA CUDA technology. It is a technical performance module designed to optimize model inference on compatible NVIDIA graphics cards.

Support CUDA
Tryll Assistant is an in-game overlay assistant powered by a local AI model that runs directly on your PC and answers game-related questions in real time.
               
The assistant is activated with a hotkey and opens as an overlay chat right on top of your game.

No more tabbing out, searching through browsers, wikis, or forums.

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Tryll Assistant - Nvidia CUDA support screenshot 1

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Tech
Requirements
System requirements platform
Minimum
Minimum:
  • Requires a 64-bit processor and operating system
  • OS: Windows 11
  • Processor: Intel Core i5-8400 or AMD Ryzen 5 2600
  • Memory: 8 GB RAM
  • Graphics: NVIDIA GPU ≥8GB VRAM (RTX 4060 8GB, or equivalent)
  • Network: Broadband Internet connection
  • Storage: 7 GB available space
  • Additional Notes: Minimum specs support 3-4B parameter models. For optimal performance, install smaller models which use approximately 4GB VRAM and provide fast response times suitable for real-time gaming assistance
Recommended
Recommended:
  • Requires a 64-bit processor and operating system
  • OS: Windows 11
  • Processor: Intel Core i7-10700K or AMD Ryzen 7 5800X
  • Memory: 16 GB RAM
  • Graphics: NVIDIA GPU ≥16GB VRAM (RTX 4080, RTX 4090, or equivalent)
  • Storage: 15 GB available space
  • Additional Notes: Recommended specs support 10B-14B parameter models for enhanced AI quality. Larger models (14B+) provide more sophisticated responses and better game understanding but require 14GB+ VRAM. Choose model size based on your GPU: 6-8GB VRAM = 3-4B models, 12GB VRAM = 7B models, 16GB+ VRAM = 14B models
Minimum
Minimum:
    Recommended
    Recommended:
      Minimum
      Minimum:
        Recommended
        Recommended:
          Facts
          DéveloppeurTryll Engine Inc.
          ÉditeurTryll Engine Inc.
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