Install TRELLIS.2-4B PC with NPU Offline Setup

Install TRELLIS.2-4B PC with NPU Offline Setup

Using Docker is the absolute quickest way to install this model on your local machine.

Follow the guidelines below to continue.

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

🔗 SHA sum: d125e1b0dfb73120c9799fcbb158e798 | Updated: 2026-06-23



  • CPU: 8-core / 16-thread recommended for orchestration
  • RAM: fast 5600MHz+ required to avoid memory bottlenecks
  • Storage:100 GB free space for HuggingFace cache folder
  • Graphics: 12 GB VRAM minimum required for basic quantization

The TRELLIS.2-4B model represents a significant advancement in open‑source language models, delivering state‑of‑the‑art performance while maintaining a manageable parameter count of 2.4 billion. Built on a transformer‑based architecture with enhanced attention mechanisms, it achieves superior comprehension of both textual and multimodal inputs. Trained on a diverse corpus spanning code, scientific literature, and conversational data, the model exhibits robust generalization across a wide range of downstream tasks. Its efficient design enables deployment on standard GPU clusters, making advanced AI capabilities accessible to developers and researchers worldwide. A dedicated

with key technical specifications is provided below for quick reference.

Specification Value
Parameter Count 2.4 B
Context Length 8 K tokens
Training Data Types Code, scientific, conversational
Primary Use Cases Text generation, summarization, Q&A, multimodal tasks
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