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README.md

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+---
+library_name: mlx
+---
+
+# whisper-tiny.en-mlx-4bit
+This model was converted to MLX format from [`tiny.en`]().
+
+## Use with mlx
+```bash
+git clone https://github.com/ml-explore/mlx-examples.git
+cd mlx-examples/whisper/
+pip install -r requirements.txt
+
+>> import whisper
+>> whisper.transcribe("FILE_NAME")
+```

config.json

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+{
+    "n_mels": 80,
+    "n_audio_ctx": 1500,
+    "n_audio_state": 384,
+    "n_audio_head": 6,
+    "n_audio_layer": 4,
+    "n_vocab": 51864,
+    "n_text_ctx": 448,
+    "n_text_state": 384,
+    "n_text_head": 6,
+    "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:b95cea3c0a46b514670063acbb21522471745102a2625692a46baf09882ae2ed
+size 50715596