File size: 1,778 Bytes
950ec4c 0a38635 950ec4c 0a38635 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 | ---
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). |