This is a GGUF quantized version of the Whisper large v3 turbo model optimized for local inference using transcribe.cpp. It supports transcription and translation across 100 languages. The repository provides multiple quantization levels (F16, Q4, Q5, Q6, Q8) for different performance and accuracy tradeoffs on CPU and GPU hardware. It is intended for developers building offline speech recognition applications.
In the Voice, TTS & speech space, Whisper Large V3 Turbo takes a focused approach. It focuses on running large Whisper speech recognition models efficiently on local hardware with reduced memory usage. Whisper Large V3 Turbo is an open-source project aimed at developers. The project is open source (MIT). Whisper Large V3 Turbo is available on the web and the command line.
Behind Whisper Large V3 Turbo is handy-computer, and the product first shipped in 2026. The project is developed in the open on GitHub with 852 stars and 423 commits in the last 90 days. PulseGate's similarity index places it among 9 comparable tools. Among its 4 catalogued features are speech-to-Text, Quantized GGUF, and Multilingual ASR.
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