Update README.md

README.md

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 ---
 license: mit
+pipeline_tag: automatic-speech-recognition
+tags:
+  - whisper
+  - ggml
+  - audio-to-text
+  - on-device
+  - edge-ai
+  - runslm
+language:
+  - en
+  - zh
+  - yue
+  - ja
+  - es
+  - fr
+  - de
+inference: false
 ---
+
+# Whisper Tiny (GGML Binary for RunSLM AI)
+
+This repository provides the official quantized binary distribution of OpenAI's **Whisper Tiny** model converted into GGML format (`ggml-tiny.bin`) for on-device automatic speech recognition (ASR) inside **RunSLM AI** and `whisper.cpp` runtimes.
+
+## Model Summary
+
+- **Architecture:** Whisper (Sequence-to-Sequence Encoder-Decoder)
+- **Parameters:** ~39 Million
+- **File Format:** GGML Binary (`.bin`)
+- **File Size:** ~77.7 MB
+- **License:** MIT License
+- **Target Deployment:** Local mobile & tablet hardware (iOS Metal & Android Arm64 NEON)
+
+## Features
+
+- **100% Offline Speech Recognition:** Transcribe speech directly on device hardware with zero network connectivity.
+- **Multilingual Support:** Supports multilingual speech transcription across major languages including English, Cantonese, Mandarin, Japanese, Spanish, French, and German.
+- **Low Memory Footprint:** Requires only ~75 MB of device RAM, making it suitable for older devices and background execution.
+
+## Direct Download
+
+The raw model binary can be downloaded directly from:
+`https://huggingface.co/RunSLM-AI/whisper-tiny-ggml/resolve/main/ggml-tiny.bin`
+
+## Acknowledgements & Credits
+
+- **Original Model:** [OpenAI Whisper](https://github.com/openai/whisper) by OpenAI (MIT License).
+- **GGML Conversion & C++ Runtime:** [whisper.cpp](https://github.com/ggerganov/whisper.cpp) by Georgi Gerganov and contributors (MIT License).
+- **Distribution Maintainer:** [PROJECTLAB LIMITED / RunSLM-AI](https://github.com/tonynotpro/RunSLM-AI).