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README.md

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+---
+library_name: mlx
+---
+
+# whisper-large-v3-turbo-german-f16-q4
+This model was converted to MLX format.
+
+## Use with MLX
+
+```bash
+git clone https://github.com/ml-explore/mlx-examples.git
+cd mlx-examples/whisper/
+pip install -r requirements.txt
+
+# Example usage
+import mlx_whisper
+result = mlx_whisper.transcribe("test.mp3", path_or_hf_repo="whisper-large-v3-turbo-german-f16-q4")
+print(result)
+```

config.json

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+{
+    "n_mels": 128,
+    "n_audio_ctx": 1500,
+    "n_audio_state": 1280,
+    "n_audio_head": 20,
+    "n_audio_layer": 32,
+    "n_vocab": 51866,
+    "n_text_ctx": 448,
+    "n_text_state": 1280,
+    "n_text_head": 20,
+    "n_text_layer": 4,
+    "quantization": {
+        "group_size": 64,
+        "bits": 4
+    },
+    "model_type": "whisper"
+}

weights.npz

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+version https://git-lfs.github.com/spec/v1
+oid sha256:5648330946342b019dd6286a06cd212ec2ffde4130f83d3f19acb509fc814241
+size 728628832