| --- |
| license: apache-2.0 |
| base_model: MediaTek-Research/Breeze-ASR-26 |
| language: [zh, nan] |
| pipeline_tag: automatic-speech-recognition |
| tags: [whisper, whisper.cpp, ggml, gguf, taiwanese-hokkien, taigi, macwhisper, superwhisper, edge, quantized, speech-recognition] |
| --- |
| |
| # Breeze-ASR-26 — GGML (whisper.cpp, Q4_0 / Q5_0) |
|
|
| The **smallest-footprint** build: peak RSS 1.85 GB (Q4_0), fits a 4 GB host, and |
| loads directly in **whisper.cpp desktop apps (MacWhisper Pro, superwhisper)** — |
| drag the .bin in, no code. Slower than CT2 (RTF 0.40) but the RAM floor is 1 GB lower. |
| |
| (Files are whisper.cpp GGML format. whisper.cpp GGUF support is in progress upstream, |
| ggml-org/whisper.cpp#3316; GGUF builds will be added when the toolchain lands.) |
| |
| > Part of the **Breeze-ASR-26 edge family** — the same MediaTek model in every runtime, pick by your constraint: |
| > |
| > | Repo | Runtime | RSS | RTF (CPU 4-thread) | Best for | |
| > |---|---|---|---|---| |
| > | [Breeze-ASR-26-ct2](https://huggingface.co/weemed/Breeze-ASR-26-ct2) | CTranslate2 / faster-whisper | ~2.9 GB | **0.21** | servers, 8 GB+ hosts, GPU | |
| > | [Breeze-ASR-26-GGML](https://huggingface.co/weemed/Breeze-ASR-26-GGML) | whisper.cpp / MacWhisper | **1.85 GB** | 0.40 | 4 GB hosts, desktop apps | |
| > | [Breeze-ASR-26-ONNX](https://huggingface.co/weemed/Breeze-ASR-26-ONNX) | sherpa-onnx / onnxruntime | — | 1.3 | Android / iOS / WASM | |
| > |
| > All Apache-2.0, derived from [MediaTek-Research/Breeze-ASR-26](https://huggingface.co/MediaTek-Research/Breeze-ASR-26). Measured on real multi-speaker Mandarin meeting audio. Mandarin does not regress; Taigi is transcribed as Mandarin meaning (not verbatim Taigi characters). |
| |
| ## Usage |
| |
| ```bash |
| # whisper.cpp |
| whisper-cli -m breeze-q5_0.bin -f meeting.wav -l zh -t 4 |
| ``` |
| **MacWhisper Pro / superwhisper**: download `breeze-q5_0.bin`, drag it in as a custom model. |
| |
| | Build | Disk | Peak RSS | RTF | |
| |---|---|---|---| |
| | Q4_0 | 848 MB | 1.85 GB | 0.40 | |
| | Q5_0 | 1.1 GB | 2.03 GB | 0.62 | |
| |
