Install TRELLIS.2-4B PC with NPU

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

Simply follow the directions outlined below.

Hands-free setup: the system self-downloads the heavy model files.

The smart installation system will instantly find the perfect configuration for your specific hardware.

🗂 Hash: 2b8a2b47c2506aa66dce63280978358c • Last Updated: 2026-06-25

Processor: high single-core performance needed for token latency
RAM: at least 32 GB in dual-channel mode for bandwidth
Disk Space:70 GB free space for full FP16 weights storage
Graphics: CUDA Compute Capability 8.0+ required for flash-attention

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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