How to Deploy Qwen3.6-35B-A3B-NVFP4 on Copilot+ PC with Native FP4

How to Deploy Qwen3.6-35B-A3B-NVFP4 on Copilot+ PC with Native FP4

Deploying this model locally is quickest when done via a simple curl command.

Please adhere to the deployment steps listed below.

The tool automatically synchronizes and downloads the model database.

The configuration wizard runs silently to set up the model for peak performance.

📊 File Hash: 7a07edcc0b6e4e5baf32d0d415b4554c — Last update: 2026-07-06



  • Processor: 6-core 3.5 GHz minimum required
  • RAM: minimum 16 GB for stable 8B model loading
  • Disk Space: free: 80 GB on system drive for scratch space
  • GPU: RTX 4080 / RTX 4090 recommended for 26B-A4B fast inference

The **Qwen3.6-35B-A3B-NVFP4** model represents a major leap in large language capabilities, combining **35B parameters** with the innovative A3B architecture. Built on the cutting‑edge **NVFP4** precision format, it achieves unprecedented inference efficiency while maintaining high fidelity in generated text. Evaluations across benchmark suites show *state‑of‑the‑art* performance in reasoning, coding, and multilingual tasks, often surpassing models of comparable size. Its training pipeline leverages a distributed strategy that balances compute utilization, resulting in a model that is both *scalable* and cost‑effective for production deployments. With extensive safety refinements and a transparent licensing model, the Qwen3.6-35B-A3B-NVFP4 is positioned as a versatile solution for enterprises and researchers alike.

Parameters 35 B
Architecture A3B
Precision NVFP4
Max Context Length 8K tokens
FLOPs per Token ~12 TFLOPs
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