Qwen3-ASR-0.6B
The Qwen3-ASR family includes Qwen3-ASR-1.7B and Qwen3-ASR-0.6B, which support language identification and ASR for 52 languages and dialects. Both leverage large-scale speech training data and the strong audio understanding capability of their foundation model, Qwen3-Omni. Experiments show that the 1.7B version achieves state-of-the-art performance among open-source ASR models and is competitive with the strongest pr...
Params
940 M
Context
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Downloads 30d
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Likes
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Download history
daily snapshots · 106 days
▲ 133 K in the last 30 days (25.9%)
862 K537 K
Oct 12Oct 22Nov 1Nov 10
4.2 M463 K
Aug 13Sep 12Oct 12Nov 10
4.3 M463 K
Jul 28Sep 1Oct 6Nov 10
Can you run it?
Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.
| File | Quant | Size | Est. VRAM | Verdict on RTX 4090 · 24 GB |
|---|---|---|---|---|
| model.safetensors | bf16 | 1.9 GB | 2.7 GB | ✅ Runs comfortably |
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.
Specifications
- Architecture
- Qwen3ASRForConditionalGeneration
- Parameters
- 940 M
- Tensor type
- BF16
- Licence
- apache-2.0
- First seen on the Hub
- 2026-01-28
- Training datasets
- undisclosed
- Added to our catalog
- 2026-07-28
Compare with any automatic-speech-recognition model