Update model card with MetalRT benchmarks and usage

README.md

@@ -1,3 +1,41 @@
----
-license: mit
----
+---
+license: mit
+tags:
+  - mlx
+  - 4bit
+  - whisper
+  - stt
+  - metalrt
+  - apple-silicon
+---
+
+# Whisper Medium — MLX 4-bit Quantized
+
+Custom MLX 4-bit quantization of [OpenAI Whisper Medium](https://huggingface.co/openai/whisper-medium) optimized for [MetalRT](https://github.com/RunanywhereAI/metalrt-binaries) GPU inference on Apple Silicon.
+
+## Usage
+
+Used by [RCLI](https://github.com/RunanywhereAI/RCLI) with the MetalRT engine for speech-to-text:
+
+```bash
+rcli setup          # select MetalRT or Both engines
+```
+
+> **Note**: Whisper Medium is in GPU beta. Whisper Tiny is recommended for production use.
+
+## Performance (Apple M3 Max)
+
+| Metric | Value |
+|--------|-------|
+| Latency (1.2s audio) | 233 ms |
+| RTF | 0.19x |
+| Quantization | MLX 4-bit |
+
+## License
+
+Model weights: [MIT](https://github.com/openai/whisper/blob/main/LICENSE) (OpenAI)
+MetalRT engine: [Proprietary](https://github.com/RunanywhereAI/metalrt-binaries/blob/main/LICENSE) (RunAnywhere, Inc.)
+
+## Contact
+
+founder@runanywhere.ai | https://runanywhere.ai