Audio / Qwen

Qwen3 ASR 1.7B hf

Qwen3 ASR 1.7B hf from Qwen. Source-based hardware guidance from its published configuration.

EstimatedRepository opened Jun 26, 2026Source checked 9/23/2026Version: bcd2b5b7
LOCALRENTED GPUOPEN WEIGHTS

At a glance

Parameters
2.04B
Architecture
qwen3_asr
License
apache-2.0
Software
Transformers
View the model source
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Ways to run it

Transformers · See official guide

Repository-specific command in publisher documentation; confirm dependencies and hardware in the source.

from transformers import AutoProcessor, AutoModelForMultimodalLM model_id = "Qwen/Qwen3-ASR-1.7B-hf" processor = AutoProcessor.from_pretrained(model_id) model = AutoModelForMultimodalLM.from_pretrained(model_id, device_map="auto") print(f"Model loaded on {model.device} with dtype {model.dtype}") inputs = processor.apply_transcription_request( audio="https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen3-ASR-Repo/asr_en.wav", ).to(model.device, model.dtype) output_ids = model.generate(**inputs, max_new_tokens=256) generated_ids = output_ids[:, inputs["input_ids"].shape[1]:] # Raw output includes language tag and <asr_text> marker raw = processor.decode(generated_ids)[0] print(f"Raw: {raw}") # Parsed output: dict with "language" and "transcription" parsed = processor.decode(generated_ids, return_format="parsed")[0] print(f"Parsed: {parsed}") # Extract only the transcription text transcription = processor.decode(generated_ids, return_format="transcription_only")[0] print(f"Transcription: {transcription}") """ Raw: language English<asr_text>Mr. Quilter is the apostle of the middle classes, and we are glad to welcome his gospel. Parsed: {'language': 'English', 'transcription': 'Mr. Quilter is the apostle of the middle classes, and we are glad to welcome his gospel.'} Transcription: Mr. Quilter is the apostle of the middle classes, and we are glad to welcome his gospel. """
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Qwen3 ASR 1.7B hf: hardware, VRAM & setup | YouRunAI