Fix decoder vocab size

.gitattributes

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 *.zip filter=lfs diff=lfs merge=lfs -text
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+qwen3-asr-0.6b-q4_k_m.gguf filter=lfs diff=lfs merge=lfs -text

README.md

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+
+---
+language: 
+- zh
+- en
+- yue
+- ar
+- de
+- fr
+- es
+- pt
+- id
+- it
+- ko
+- ru
+- th
+- vi
+- ja
+- tr
+- hi
+- ms
+- nl
+- sv
+- da
+- fi
+- pl
+- cs
+- fil
+- fa
+- el
+- hu
+- mk
+- ro
+tags:
+- audio
+- speech
+- automatic-speech-recognition
+---
+
+license: apache-2.0
+---
+
+# OVOS - Qwen3 ASR 0.6B Q4_K_M (GGUF)
+
+This model is an quantized gguf-format export of [Qwen/Qwen3-ASR-0.6B](https://huggingface.co/Qwen/Qwen3-ASR-0.6B)
+for ease of use in edge devices and CPU-based inference environments.
+The original model is transformed into gguf with F16 tensors by the script [convert_hf_to_gguf.py](https://github.com/femelo/qwen3-asr.cpp/blob/main/scripts/convert_hf_to_gguf.py)
+and then further quantized, if needed, using the tool [quantize](https://github.com/femelo/qwen3-asr.cpp/blob/main/src/quantize.cpp) from the same repo.
+
+# Requirements
+
+The requirements can be installed as
+
+```bash
+$ pip install git+https://github.com/femelo/py-qwen3-asr-cpp
+```
+
+# Usage
+
+```python
+from py_qwen3_asr_cpp.model import Qwen3ASRModel
+
+# Initialize the model (it handles downloading from this repo)
+model = Qwen3ASRModel(
+    asr_model="qwen3-asr-0.6b-q4_k_m",
+    n_threads=4
+)
+
+# Transcribe from file
+result = model.transcribe("audio.mp3")
+print(f"Detected Language: {result.language}")
+print(f"Transcription: {result.text}")
+```
+
+Refer to [https://github.com/femelo/py-qwen3-asr-cpp](https://github.com/femelo/py-qwen3-asr-cpp) for more details.
+
+# Licensing
+
+The license is derived from the original model: Apache 2.0. For more details, please refer to [Qwen/Qwen3-ASR-0.6B](https://huggingface.co/Qwen/Qwen3-ASR-0.6B).
+

qwen3-asr-0.6b-q4_k_m.gguf

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