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README.md

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----
-license: apache-2.0
----
+## Whisper-medium-Malayalam (MLX)
+
+Apple MLX-converted weights for `vrclc/Whisper-medium-Malayalam` optimized for Apple Silicon.
+
+- Base model: `vrclc/Whisper-medium-Malayalam`
+- Format: MLX (`weights.safetensors`, `config.json`)
+- Intended runtime: `mlx-whisper` on Apple Silicon (M-series)
+
+### Usage (Python)
+```python
+import mlx_whisper
+
+result = mlx_whisper.transcribe(
+    "/path/to/audio.wav",
+    path_or_hf_repo="<this-repo>",
+    # Optional decoding controls
+    language="ml",               # Malayalam
+    task="transcribe",           # or "translate"
+    temperature=0.0,
+    no_speech_threshold=0.3,
+    logprob_threshold=-1.0,
+    compression_ratio_threshold=2.4,
+)
+print(result["text"]) 
+```
+
+### Local HTTP server (FastAPI)
+With the server at `whisper/server_mlx.py` from `avatar-npm`:
+```bash
+export WHISPER_MODEL=<this-repo-or-local-mlx-path>
+export WHISPER_LANGUAGE=ml
+python server_mlx.py
+# POST /transcribe with form field `file`
+```
+
+### Notes
+- This repo contains only the MLX weights and config. Tokenization and audio
+  preprocessing are handled by `mlx-whisper`.
+- If you need the original (non-MLX) model, see `vrclc/Whisper-medium-Malayalam`.
+
+### License
+The original model’s license applies. See the upstream repository for details.
+
+

config.json

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+{
+    "n_mels": 80,
+    "n_audio_ctx": 1500,
+    "n_audio_state": 1024,
+    "n_audio_head": 16,
+    "n_audio_layer": 24,
+    "n_vocab": 51865,
+    "n_text_ctx": 448,
+    "n_text_state": 1024,
+    "n_text_head": 16,
+    "n_text_layer": 24,
+    "model_type": "whisper"
+}

weights.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:db7b72f5bbe426256f7c70a63373ecc6f1d9c69724e0060df8a04494f9363d33
+size 1524747195