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Install Qwen3.5-122B-A10B-FP8 on Copilot+ PC

Install Qwen3.5-122B-A10B-FP8 on Copilot+ PC

The most rapid route to a local installation of this model is through Docker.

Follow the guidelines below to continue.

The client handles the setup, pulling gigabytes of data automatically.

To guarantee smooth performance, the installation process auto-selects the best possible options for your PC.

📦 Hash-sum → 00eb4f0911bd4dbf26fd36c638b706fb | 📌 Updated on 2026-06-23



  • CPU: AVX2/AVX-512 instruction set required for llama.cpp
  • RAM: required: 16 GB absolute minimum for small models
  • Disk Space: 100 GB for multi-modal model vision components
  • Graphic Processor: RTX 3060 or RX 6600 for minimum 8B VRAM offloading

The Qwen3.5-122B-A10B-FP8 model delivers unprecedented performance for large language tasks with its massive 122 billion parameters and optimized A10B architecture.

Built with FP8 precision, the model achieves a balance between computational efficiency and accuracy, reducing memory footprint while maintaining high fidelity outputs.

Benchmarks across diverse NLP tasks show that the model outperforms previous generations by a significant margin, especially in reasoning and code generation.

Its inference latency is notably low on modern GPUs, enabling real‑time applications without sacrificing quality.

The model also supports multimodal inputs, allowing seamless integration with text, images, and audio for comprehensive AI solutions.

Specification Value
Parameters 122 B
Precision FP8
Architecture A10B
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