Qwen3 ASR 1.7B by Qwen

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Qwen3 ASR 1.7B is an open-source language model by Qwen. Features: 1.7b LLM, VRAM: 4.7GB, License: apache-2.0, LLM Explorer Score: 0.48.

  Arxiv:2601.21337   Automatic-speech-recognition   Deploy:azure   Eval-results   Qwen3 asr   Region:us   Safetensors   Sharded   Tensorflow

Qwen3 ASR 1.7B Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Qwen3 ASR 1.7B Parameters and Internals

LLM NameQwen3 ASR 1.7B
Repository 🤗https://huggingface.co/Qwen/Qwen3-ASR-1.7B 
Model Size1.7b
Required VRAM4.7 GB
Updated2026-05-08
MaintainerQwen
Model Typeqwen3_asr
Model Files  4.2 GB: 1-of-2   0.5 GB: 2-of-2
Model ArchitectureQwen3ASRForConditionalGeneration
Licenseapache-2.0
Model Max Length131072
Transformers Version4.57.6
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Errorsreplace

Rank the Qwen3 ASR 1.7B Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Release v20260328a