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bosonai/Qwen3-ASR-1.7B-hf-beam4
Qwen3-ASR-1.7B-hf-beam4 is a automatic speech recognition model from bosonai. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as apache-2.0.
This is a decoding-calibrated derivative of Qwen/Qwen3-ASR-1.7B-hf. The model weights and processor are unchanged. The only inference change is numbeams: 4 in generationconfig.json; decoding remains deterministic with…
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From the Hugging Face model README
This is a decoding-calibrated derivative of
Qwen/Qwen3-ASR-1.7B-hf.
The model weights and processor are unchanged. The only inference change is
num_beams: 4 in generation_config.json; decoding remains deterministic
with sampling disabled.
The candidate was evaluated with the public Open ASR Leaderboard code pinned
at commit d1e99b25524814332d6868a5645e568670834cfb. On a deterministic paired
screen using the first 200 examples from each of the seven public English
short-form datasets, the macro WER was 5.0100, compared with 5.0600 for
greedy decoding of the same base checkpoint.
| Decoding | Paired 7-set macro WER |
|---|---|
| Greedy | 5.0600 |
| Beam 2 | 5.0286 |
| Beam 4 | 5.0100 |
| Beam 6 | 5.0229 |
| Beam 8 | 5.0214 |
The screen is a candidate-selection measurement, not a substitute for the leaderboard's full public and hidden evaluation. Full public evaluation and leaderboard submission are in progress.
Load the checkpoint with Transformers and call generate normally. Its saved
generation configuration selects four-beam decoding automatically. Callers
that explicitly pass generation arguments can override the saved setting.
bcd2b5b7f32b480ab5790554cfa8347f246a14f3num_beams=4