Model reference · open weights

indicwav2vec-hindi

Audio ai4bharat Speech→text 1 build Open weights 3k dl/mo

indicwav2vec-hindi is an open-weight audio or speech model from ai4bharat. indicwav2vec-hindi (BF16) weighs 1.3 GB; the smallest configuration that runs it is RTX 3060 12 GB.

  • indicwav2vec-hindi is an automatic speech recognition model developed by ai4bharat for processing Hindi audio.
  • It is a Wav2Vec2 style model trained in fairseq and ported to the Hugging Face format, operating under the Apache 2.0 license.
  • The model does not support inference with a language model.

Summary of the ai4bharat/indicwav2vec-hindi model card, 2026-10-01

What it is

Released byai4bharat
Released2022-07-27
VRAM1.3 GB for the weights

What it runs on

Memory and cards for indicwav2vec-hindi (BF16)

1.3 GBweights, file size
1.6 GBruntime overhead
CardOne streamMemory
RTX 3060 12 GBfits11.6 GB
RTX 4060 Ti 16 GBfits15.4 GB
RTX 3090 24 GBfits23.4 GB
RTX 4090 24 GBfits23.4 GB
RTX 5090 32 GBfits31.0 GB
L40S 48 GBfits44.0 GB
A100 80 GBfits78.2 GB
H100 80 GBfits78.1 GB
RTX PRO 6000 Blackwell 96 GBfits93.8 GB
DGX Spark (GB10) 128 GB unifiedfits107 GB
H200 141 GBfits138 GB
B200 180 GBfits176 GB

How it works

How audio & music work

Audio or textinputAudio modelrecognise / synthesiseText or audiooutputSpeech-to-text turns audio into text; text-to-speech and music models turn text into audio.
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