Qwen3 ASR 1.7B
QwenFeaturedApache 2.0audiotext

Qwen3 ASR 1.7B

Updated Jun 7, 2026
Parameters
2B
Context
8,192
License
Apache 2.0
Updated
Jun 7, 2026

Will it run on your hardware?

Pick your GPU memory - see which quantizations fit, and the cheapest card for the rest

Runs on your 24 GB - best at Q4_K_M
1 of 1 quantizations fit Qwen3 ASR 1.7B with real runtime overhead.
Q4_K_M
1.2 GB
fits tight too big

Need an exact figure for your context length? Use the VRAM calculator.

Run it locally

Copy-paste - running in under a minute

vLLMOpenAI-compatible API
vllm serve Qwen/Qwen3-ASR-1.7B

New to this? Start with Ollama · serve to many users with vLLM.

Deep dive

Notes, sources, and the full write-up

Qwen3 ASR 1.7B

Qwen3 ASR 1.7B is Alibaba's automatic speech recognition model. It brings the powerful Qwen architecture to audio understanding with 1.94M monthly downloads. Strong multilingual support and Apache 2.0 licensed.

Key features

  1. 1.7B params - strong accuracy
  2. 1.94M monthly downloads - rapidly growing
  3. Apache 2.0 - fully open, commercial OK
  4. Qwen ecosystem - integrates with Qwen3-TTS and Qwen LLMs

When to use

  • Transcription - high-accuracy speech-to-text
  • Voice pipelines - pair with Qwen3-TTS for speech-to-speech
  • Multilingual ASR - strong non-English performance

Frequently asked

Quick answers to common questions

How much VRAM does Qwen3 ASR 1.7B need?

Qwen3 ASR 1.7B with 2B parameters needs significant VRAM depending on quantization. Use our VRAM calculator for an exact estimate.

Is Qwen3 ASR 1.7B better than other Qwen models?

Qwen3 ASR 1.7B has 2B parameters with 8,192 context - a strong choice for speech-recognition, audio-understanding.

What license is Qwen3 ASR 1.7B under?

Qwen3 ASR 1.7B is released under the Apache 2.0 license, making it suitable for most commercial and personal projects.

What hardware runs Qwen3 ASR 1.7B well?

With 2B parameters, Qwen3 ASR 1.7B requires adequate VRAM. High-end GPUs like the RTX 4090 (24GB), RTX 5090 (32GB), or Mac Studio with unified memory are good options. Check our hardware directory for specific recommendations.

What is the best quantization for Qwen3 ASR 1.7B?

Q4_K_M is the recommended sweet spot - ~98% of FP16 quality at ~27% of the size. Step up to Q5_K_M or Q8_0 only if you have spare VRAM. Use our VRAM calculator to compare.

What models compete with Qwen3 ASR 1.7B?

Qwen3 ASR 1.7B competes with other models in its class. Browse our model directory for comparisons, benchmarks, and community reviews to find the best fit.

Compare & pair with

Similar models and recommended hardware

Nearby options

Similar models and compatible hardware by spec

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