Qwen3-ASR-1.7B
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
2.4 B
Context
—
Downloads 30d
2.3 M
Likes
1,103
Download history
daily snapshots · 55 days
▲ 2.2 M in the last 30 days (48.6%)
4.6 M2.3 M
Aug 22Sep 1Sep 11Sep 20
4.6 M1.9 M
Jul 28Aug 15Sep 2Sep 20
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 | 4.7 GB | 6.0 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
- 2.4 B
- 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