To install this model locally in the shortest time, opt for Docker.
Refer to the instructions below to proceed.
The setup auto-downloads all needed files (several GBs).
To guarantee smooth performance, the installation process auto-selects the best possible options for your PC.
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🔐 Hash sum: cdb4a13d604460766392bb3ed0035c84 | 📅 Last update: 2026-06-24
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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:
| Model Name | Qwen3-ASR-1.7B |
| Parameters | 1.7 B |
| Language Support | Multilingual ASR |
| Key Feature | Real‑time speech transcription |
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