This repository contains the conversion of openai/whisper-large-v3 to the CTranslate2 model format.

This model can be used in CTranslate2 or projects based on CTranslate2 such as faster-whisper.

The original model was converted with the following command:

ct2-transformers-converter --model openai/whisper-large-v3 --output_dir faster-whisper-large-v3 \
    --copy_files tokenizer.json preprocessor_config.json --quantization float16

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.

This public revision is the CTranslate2 ASR artifact bound to miner UID 142. The managed runtime uses Faster-Whisper task="translate" for direct speech-to-English translation and Kokoro af_heart for speech synthesis. The Whisper weights are the unmodified upstream conversion; the low-latency streaming, stability, pacing, and output logic lives in the paired managed container.

Runtime metadata and the exact scoring configuration are recorded in babelbit_runtime.json.