Open-weight model
faster-whisper-large-v3-turbo
by Dropbox Inc dropbox-dash/faster-whisper-large-v3-turbo
This repository contains the conversion of openai/whisper-large-v3-turbo to the CTranslate2 model format. This model can be used in CTranslate2 or projects based on CTranslate2 models such as faster-whisper.
Model Card
By Dropbox Inc, published under mit, revision 0a363e9161cb.
This repository contains the conversion of openai/whisper-large-v3-turbo to the CTranslate2 model format. This model can be used in CTranslate2 or projects based on CTranslate2 models such as faster-whisper. It is called automatically for Mobius Labs fork of faster-whisper. Note that the model weights are saved in FP16. This type can be changed when the model is loaded using the computetype option in CTranslate2. The openAI model was converted with the following command: For more information about the original model, see its model card.
Read Dropbox Inc's full model card
Whisper large-v3 turbo model for CTranslate2
This repository contains the conversion of openai/whisper-large-v3-turbo to the CTranslate2 model format.
This model can be used in CTranslate2 or projects based on CTranslate2 models such as faster-whisper. It is called automatically for Mobius Labs fork of faster-whisper.
Example
from faster_whisper import WhisperModel
model = WhisperModel("dropbox-dash/faster-whisper-large-v3-turbo")
segments, info = model.transcribe("audio.mp3")
for segment in segments:
print("[%.2fs -> %.2fs] %s" % (segment.start, segment.end, segment.text))
Note that the model weights are saved in FP16. This type can be changed when the model is loaded using the compute_type option in CTranslate2.
Conversion details
The openAI model was converted with the following command:
ct2-transformers-converter --model openai/whisper-large-v3-turbo --output_dir faster-whisper-large-v3-turbo \
--copy_files tokenizer.json preprocessor_config.json --quantization float16
More Information
For more information about the original model, see its model card.
Identity and Version
- Repository
- dropbox-dash/faster-whisper-large-v3-turbo
- Publisher
- Dropbox Inc
- Task
- Not stated by the source
- Modality
- Other
- Library
- Not stated by the source
- Parameters
- Not stated by the source
- Languages
- Not stated by the source
- Revision
- 0a363e9161cbc7ed1431c9597a8ceaf0c4f78fcf
- First published
- 2024-10-08
- Last updated
- 2025-11-05
Files and Weights
7 files, 1.6 GB in total. The weights are 1 file totalling 1.6 GB in bin.
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| model.bin | Weights | 1.6 GB | e76620f83d5f |
| config.json | Configuration | 2.3 KB | — |
| preprocessor_config.json | Configuration | 340 B | — |
| vocabulary.json | Configuration | 1.1 MB | — |
| README.md | Documentation | 1.4 KB | — |
| .gitattributes | Repository | 1.5 KB | — |
| tokenizer.json | Tokenizer | 2.7 MB | — |
License and Download
- License
- mit
- Access
- Open weights, no gate
- Download size
- 1.6 GB
Released by Dropbox Inc through its official repository on Hugging Face. Read the license.
Memory Requirements
| Precision | Weights in memory |
|---|---|
| As published | 1.6 GB |
Weights only, from the published parameter count; the key-value cache and runtime add to this.
Questions About faster-whisper-large-v3-turbo
Can I use faster-whisper-large-v3-turbo commercially?
Yes. faster-whisper-large-v3-turbo is released under MIT License. The MIT License is a short permissive license. It permits commercial use, modification and redistribution, provided the copyright notice and permission notice are included.