Qwen3-Omni-30B-A3B-Instruct on Copilot+ PC No-Internet Version Offline Setup

Qwen3-Omni-30B-A3B-Instruct on Copilot+ PC No-Internet Version Offline Setup

For the fastest local setup of this model, enabling Windows Features is best.

Please follow the instructions listed below to get started.

The installer automatically pulls the model (could be multiple GBs).

To guarantee smooth performance, the process auto-selects the best options.

🔐 Hash sum: 2ac1bba6e359d5fdc63d69d2100703d5 | 📅 Last update: 2026-06-30



  • CPU: multi-threading optimized for fast prompt processing
  • RAM: enough space for background apps and OS overhead
  • Storage: extra room for future model updates and datasets
  • Graphics: stable 30+ tk/s at 4-bit quantization on medium setup

The Qwen3-Omni-30B-A3B-Instruct is a large language model featuring 30 billion parameters and an innovative A3B architecture that balances depth, width, and sparsity for efficient inference. It is instruction‑tuned on a diverse corpus of textual and visual datasets, enabling it to understand and generate both natural language and multimodal content with high fidelity. Its design emphasizes low latency and reduced memory footprint while maintaining competitive performance on benchmarks such as reasoning, coding, and dialogue. The model supports a 8K token context window, allowing it to handle long‑form tasks and maintain coherence across extended interactions. Users can leverage its versatile capabilities for applications ranging from content creation to complex problem‑solving, all within a unified inference pipeline.

Spec Value
Parameters 30 B
Context Length 8K tokens
Architecture A3B (Adaptive 3‑Branch)
Training Type Instruction‑tuned, multimodal
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