Breeze ASR 26 GGML
The smallest-footprint build: peak RSS 1.85 GB (Q40), 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...
Source du modèle
- Type
- Other
- Taille du fichier
- 848 MB–1,01 GB
- Modèle de base
- MediaTek-Research/Breeze-ASR-26
- Version
- vRevision 16b8f9a
- Mis à jour
- 26 oct. 2026
- Téléchargements
- 0
- Source
- Hugging Face
Description de la source
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 CTranslate2 / faster-whisper ~2.9 GB 0.21 servers, 8 GB+ hosts, GPU Breeze-ASR-26-GGML whisper.cpp / MacWhisper 1.85 GB 0.40 4 GB hosts, desktop apps Breeze-ASR-26-ONNX sherpa-onnx / onnxruntime — 1.3 Android / iOS / WASM All Apache-2.0, derived from 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
# 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 |
Sources
1 source
Sources
1 sourceVérifié 26 oct.
Download files
Artefacts du modèle
2 artefacts
Artefacts du modèle
2 artefactsExtraits de sources
3 extraits
Extraits de sources
3 extraits--- 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 |
Source context: 0 downloads · 1 likes · Pipeline automatic-speech-recognition · Repo weemed/Breeze-ASR-26-GGML
Source context: 0 downloads · 0 likes · Pipeline automatic-speech-recognition · Repo weemed/Breeze-ASR-26-GGML
