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faster-whisper-large-v3-turbo-int8-fp16
ThomasG/faster-whisper-large-v3-turbo-int8-fp16
faster-whisper-large-v3-turbo-int8-fp16 is a automatic speech recognition model from ThomasG. Use it when you need speech turned into text. It is set up for ctranslate2. The card lists the license as mit.
This is an int8float16 quantized version of openai/whisper-large-v3-turbo converted to CTranslate2 format for use with faster-whisper.
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At a glance
- Task
- Automatic Speech Recognition
- Library
- ctranslate2
- License
- mit
- Access
- Public
- Created
- Feb 7, 2026
- Updated
- Feb 7, 2026
- SHA
- 92df88c5
Model card
From the Hugging Face model README
faster-whisper-large-v3-turbo-int8-fp16
This is an int8_float16 quantized version of openai/whisper-large-v3-turbo converted to CTranslate2 format for use with faster-whisper.
Model Details
- Base Model: openai/whisper-large-v3-turbo
- Quantization: INT8_FLOAT16 (INT8 storage for linear layer weights (dequantized to FP16 for computation), and FP16 for activations and non-quantizable ops.)
- Format: CTranslate2
- Languages: 99 languages (see Whisper documentation)
Usage with faster-whisper
from faster_whisper import WhisperModel
model = WhisperModel("ThomasG/faster-whisper-large-v3-turbo-int8-fp16", device="cuda", compute_type="int8_float16")
segments, info = model.transcribe("audio.mp3")
text = " ".join(segment.text.strip() for segment in segments)
Conversion details
The OpenAI model was converted with the following command:
ct2-transformers-converter --model openai/whisper-large-v3-turbo --quantization int8_float16 --copy_files tokenizer.json preprocessor_config.json
License
This model inherits the MIT license from the original Whisper model.
- Task
- Automatic Speech Recognition
- Library
- ctranslate2
- License
- mit
- Created
- Feb 7, 2026
- Updated
- Feb 7, 2026