Quick Run Qwen3.6-35B-A3B on Copilot+ PC with Native FP4 Offline Setup

To get this model running locally in no time, utilize the built-in WSL tools.

Use the instructions provided below to complete the setup.

1-click setup: the app automatically fetches the large weight files.

Without any user input, the software calibrates parameters for optimal hardware usage.

🧩 Hash sum → caca59358e6f2703aa26522de099fd64 — Update date: 2026-06-24 Verify Processor: high single-core performance needed for token latency RAM: 32 GB or higher for smooth 32k context lengths Disk Space: free: 80 GB on system drive for scratch space Graphic Processor: hardware Tensor Cores support needed for FP16 acceleration

The Qwen3.6-35B-A3B is a large language model featuring 35 billion parameters and an advanced A3B architecture designed for superior reasoning and instruction following. It supports an extended context window of 128K tokens, enabling the model to understand and generate long‑form content with high coherence. Trained on a diverse corpus of web‑scale text and curated academic resources, the model demonstrates state‑of‑the‑art performance across a wide range of benchmarks, from language understanding to code generation. The model also incorporates multimodal capabilities, allowing it to process and generate text alongside images, which expands its utility in creative and analytical tasks. In practical applications, Qwen3.6-35B-A3B excels in complex problem solving, delivering accurate answers while maintaining low latency and efficient memory usage, as shown in the following technical overview.

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