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.
Whisper Large sits in PulseGate's Speech to text category. It focuses on running high-performance, quantized Whisper speech recognition models locally with low resource usage. It is built as an open-source project for developers and researchers needing offline ASR. Whisper Large is open source under the MIT license. It runs on the command line.
It is developed by Handy Computer, and it 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. It operates in a well-populated space: PulseGate tracks 8 similar projects. Key capabilities include speech-to-Text, Multilingual Transcription, and GGUF Quantization.
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