Model reference · open weights

faster-distil-whisper-large-ru

Available as managed deployment Audio avazir · community Speech→text 1 variants 9k dl/mo

faster-distil-whisper-large-ru is an open-weight audio or speech model from avazir. AxForge deploys and operates it for you on dedicated EU-owned hardware — with the licence handled where one is required.

Available as managed deployment — configured and operated for you on dedicated EU hardware, quoted per deployment.

What it is

Released byavazir
TypeAudio & music
TaskSpeech→text
Runs withctranslate2
Released2025-07-03
Popularity9k downloads / month
LicenceOpen weights

About

What faster-distil-whisper-large-ru is

This repository contains the conversion of bond005/whisper-large-v3-ru-podlodka to the CTranslate2 model format.

This model can be used in CTranslate2 or projects based on CTranslate2 such as faster-whisper.

Read the full model card

Example

from faster_whisper import WhisperModel

model = WhisperModel("avazir/whisper-ct2-podlodka-int8")

segments, info = model.transcribe("audio.mp3", language="ru", condition_on_previous_text=False)
for segment in segments:
    print("[%.2fs -> %.2fs] %s" % (segment.start, segment.end, segment.text))

Conversion details

The original model was converted with the following command:

ct2-transformers-converter \
  --model bond005/whisper-large-v3-ru-podlodka \
  --output_dir whisper-ct2-podlodka-large-ru \
  --copy_files tokenizer.json preprocessor_config.json \
  --quantization float16 \
  --force

Note that the model weights are saved in FP16. This type can be changed when the model is loaded using the compute_type option in CTranslate2.

More information

For more information about the original model, see its model card.

From the published model card. Full card on the HuggingFace links in the sidebar.

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.

Using it via the API

Call it like any OpenAI endpoint

Once AxForge deploys faster-distil-whisper-large-ru for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (faster-distil-whisper-large-ru below is illustrative; you get the exact model name on deployment.)

$ curl -sS https://api.axforge.ai/v1/audio/transcriptions \
  -H "Authorization: Bearer $AXFORGE_API_KEY" \
  -F model="faster-distil-whisper-large-ru" -F file=@audio.mp3

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