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zen3-asr
zenlm/zen3-asr
zen3-asr is a automatic speech recognition model from zenlm. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as apache-2.0.
Zen3 automatic speech recognition model for transcription, voice agents, and streaming. ~1.7B parameters; a 24-layer audio encoder feeds a Qwen3 text decoder. The config declares support for 30 languages.
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Parameters
2.3B
4.7 GB on disk
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Repo makeup
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.safetensors4.7 GB · 100%
At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- qwen3_asr
- Access
- Public
- Created
- May 30, 2026
- Updated
- Jul 14, 2026
- SHA
- 8ba92299
Base models
Model card
From the Hugging Face model README
Zen3 ASR
Zen3 automatic speech recognition model for transcription, voice agents, and streaming. ~1.7B parameters; a 24-layer audio encoder feeds a Qwen3 text decoder. The config declares support for 30 languages.
Derived by fine-tuning Qwen/Qwen3-ASR-1.7B (Alibaba Cloud, Apache-2.0).
- Architecture:
Qwen3ASRForConditionalGeneration(qwen3_asr) - Parameters: ~1.7B
- Base model:
Qwen/Qwen3-ASR-1.7B
Weights
This repository contains the model weights: sharded weights model-0000{1,2}-of-00002.safetensors with model.safetensors.index.json, config and tokenizer files.
The model uses the qwen3_asr architecture and loads with transformers (>= 4.57). It is API-compatible with the upstream base — follow the inference recipe on the base model card Qwen/Qwen3-ASR-1.7B.
Provenance
Fine-tuned from Qwen/Qwen3-ASR-1.7B (Apache-2.0). See NOTICE for full attribution.
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- qwen3_asr
- License
- apache-2.0
- Languages
- en, zh
- Created
- May 30, 2026
- Updated
- Jul 14, 2026