Zen3 Asr 0.6B
Compact 0.6B Zen3 automatic speech recognition model, sized for edge devices and latency-sensitive transcription.
Fuente del modelo
- Tipo
- Text model
- Tamaño del archivo
- 1,75 GB
- Modelo base
- Qwen/Qwen3-ASR-0.6B
- Versión
- vmodel
- Actualizado
- 27 sept 2026
- Descargas
- 15
- Fuente
- Hugging Face
Descripción de la fuente
Zen3 ASR 0.6B
Compact ~0.6B Zen3 automatic speech recognition model, sized for edge devices and latency-sensitive transcription.
Derived by fine-tuning Qwen/Qwen3-ASR-0.6B (Alibaba Cloud, Apache-2.0).
- Architecture:
Qwen3ASRForConditionalGeneration(qwen3_asr) - Parameters: ~0.6B
- Base model:
Qwen/Qwen3-ASR-0.6B
Weights
This repository contains the model weights: model.safetensors, 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-0.6B.
Provenance
Fine-tuned from Qwen/Qwen3-ASR-0.6B (Apache-2.0). See NOTICE for full attribution.
Fuentes
1 fuente
Fuentes
1 fuenteVerificado 30 ago
Artefactos del modelo
1 artefacto
Artefactos del modelo
1 artefactoExtractos de fuentes
2 extractos
Extractos de fuentes
2 extractos--- license: apache-2.0 library_name: transformers pipeline_tag: automatic-speech-recognition language: - en - zh base_model: - Qwen/Qwen3-ASR-0.6B base_model_relation: finetune tags: - zen3 - zen3-asr - zenlm - qwen3-asr - speech-recognition - edge - low-latency --- # Zen3 ASR 0.6B Compact ~0.6B Zen3 automatic speech recognition model, sized for edge devices and latency-sensitive transcription. Derived by fine-tuning [`Qwen/Qwen3-ASR-0.6B`](https://huggingface.co/Qwen/Qwen3-ASR-0.6B) (Alibaba Cloud, Apache-2.0). - Architecture: `Qwen3ASRForConditionalGeneration` (`qwen3_asr`) - Parameters: ~0.6B - Base model: [`Qwen/Qwen3-ASR-0.6B`](https://huggingface.co/Qwen/Qwen3-ASR-0.6B) ## Weights This repository contains the model weights: `model.safetensors`, 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-0.6B`](https://huggingface.co/Qwen/Qwen3-ASR-0.6B). ## Provenance Fine-tuned from [`Qwen/Qwen3-ASR-0.6B`](https://huggingface.co/Qwen/Qwen3-ASR-0.6B) (Apache-2.0). See `NOTICE` for full attribution.
Source context: 15 downloads · 0 likes · Pipeline automatic-speech-recognition · Library transformers · Repo zenlm/zen3-asr-0.6B
