Indic-Transcribe-Flex (GGUF, Q8_0)
Built with Indic-Transcribe-Flex from Bodhan AI / AI4Bharat.
A GGUF conversion of bodhan-ai/indic-transcribe-flex for transcribe.cpp and Hexium, where it is a built-in model.
- Source: the published
nemo/indic_transcribe_flex.nemo(Hugging Face revisionecba9ba). - Converted with
scripts/convert-indic-canary.py --default-mode mixed, quantized withtranscribe-quantize --quant Q8_0(tensors: F32, F16, Q8_0). 1.41 GB. - Default output is mixed script: Indian-language words in their own script, English words
and digits in Latin.
--no-itngives native script; a-Latnlanguage (e.g.te-Latn) gives romanized output. - Needs transcribe.cpp with the Indic-Transcribe canary patch (branch
hexiumof the fork above).
transcribe-cli -m indic-transcribe-flex-Q8_0.gguf -l te clip.wav # mixed
transcribe-cli -m indic-transcribe-flex-Q8_0.gguf -l te --no-itn clip.wav # native script
transcribe-cli -m indic-transcribe-flex-Q8_0.gguf -l te-Latn clip.wav # romanized
SHA-256: 807af7f8fe04cfa623fa5edb77e422f1db6ef7052ccd3be6064a43ae02dd3282
License
This model is a Derivative of Indic-Transcribe-Flex and is licensed under the Indic Open Model License v1.0 (LICENSE.md; plain-language summary in indic-open-license.md), exactly as the original. In short: free to use, modify and redistribute, including commercially; keep this credit and license; hosting it as an API for others needs Bodhan AI's written approval (see section 3); the prohibited uses in section 10 apply. Accuracy figures and intended use: see the original model card.
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8-bit