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voquill/whisper-hindi2hinglish-apex-ggml
whisper-hindi2hinglish-apex-ggml is a machine learning model from voquill. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
GGML-format conversion of Oriserve/Whisper-Hindi2Hinglish-Apex for use with whisper.cpp and downstream runtimes (e.g. whisper-rs).
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Updated Apr 14, 2026
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From the Hugging Face model README
GGML-format conversion of Oriserve/Whisper-Hindi2Hinglish-Apex for use with whisper.cpp and downstream runtimes (e.g. whisper-rs).
Transcribes Hindi audio into Hinglish (Hindi written in Latin script). Based on whisper-large-v3-turbo.
| File | Size | Quantization |
|---|---|---|
ggml-hindi2hinglish-apex-q5_1.bin | ~595 MB | q5_1 |
Produced with whisper.cpp/models/convert-h5-to-ggml.py (with a BFloat16 → float32 patch at the .numpy() call) followed by whisper-quantize ... q5_1.
Inherits from the base model (Oriserve/Whisper-Hindi2Hinglish-Apex).