Qwen3-ASR-1.7B on Copilot+ PC 5-Minute Setup

Using Docker is the absolute quickest way to install this model on your local machine.

Use the instructions provided below to complete the setup.

The system automatically triggers a cloud download for all heavy weights.

The setup file includes an intelligent feature that instantly optimizes all configurations for your hardware profile.

📘 Build Hash: 8275209a4d5d7116df2e141075eabea0 • 🗓 2026-06-28 Verify Processor: 4.0 GHz+ boost clock recommended for CPU inference RAM: required: 16 GB absolute minimum for small models Disk Space: free: 80 GB on system drive for scratch space Graphics: stable 30+ tk/s at 4-bit quantization on medium setup

The Qwen3-ASR-1.7B model delivers high‑accuracy automatic speech recognition across a wide range of languages and accents. Built on an efficient transformer architecture, it balances performance with a modest 1.7 B parameter count, making it suitable for both research and production environments. Its training leverages large‑scale multilingual corpora, enabling real‑time transcription with low latency on consumer hardware. The model incorporates advanced noise‑robustness techniques, ensuring reliable output even in challenging acoustic settings. Below is a quick overview of its core specifications:

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