---
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).