| --- |
| 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). |
