Run Qwen3.6-35B-A3B-FP8 PC with NPU Windows

If you want the fastest local installation for this model, use Docker.

Please follow the instructions listed below to get started.

The setup auto-streams the model assets (expect a multi-GB download).

There is no manual tuning required; the builder will automatically deploy the best matching configuration.

📦 Hash-sum → aade0cb67692db0996a82b253f9e01c8 | 📌 Updated on 2026-06-25



  • Processor: Intel i7 / Ryzen 7 for heavy Quantized models
  • RAM: 64 GB to avoid OOM crashes on large contexts
  • Disk Space: free: 80 GB on system drive for scratch space
  • Graphics: 12 GB VRAM minimum required for basic quantization

Qwen3.6-35b-a3b-fp8 represents a highly optimized mixture-of-experts language model designed for high-efficiency enterprise deployment. The architecture utilizes advanced FP8 quantization to drastically reduce memory overhead and accelerate inference speeds without compromising contextual accuracy. Engineers engineered this model to balance raw computational throughput with exceptional multi-lingual reasoning and complex coding capabilities. It integrates seamlessly into modern pipeline frameworks, making it an ideal choice for scalable production-level AI applications.

Specification Detail
Total Parameters 35 Billion
Active Parameters 3 Billion
Precision Format FP8 Quantized
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