This is a GGUF-quantized version of OpenAI's Whisper Large V3 model optimized for use with transcribe.cpp. It supports automatic speech recognition across 100 languages. The quantized formats enable efficient local inference on consumer hardware while maintaining high transcription quality.
In the Voice, TTS & speech space, Whisper Large takes a focused approach. It focuses on running high-performance, quantized Whisper speech recognition models locally with low resource usage. Whisper Large is an open-source project aimed at developers and researchers needing offline ASR. The project is open source (MIT). It runs on the command line.
It is developed by Handy Computer, and the product first shipped in 2026. The project is developed in the open on GitHub with 1.4k stars and 419 commits in the last 90 days. PulseGate's similarity index places it among 8 comparable tools. Among its 3 catalogued features are speech-to-Text, Multilingual Transcription, and GGUF Quantization.
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