Model reference · open weights
whisper-large-ru-podlodka is an open-weight audio or speech model from bond005. 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 by | bond005 |
|---|---|
| Type | Audio & music |
| Task | Speech→text |
| Parameters (lead) | 1.5B |
| Runs with | transformers |
| Released | 2024-05-02 |
| Popularity | 5k downloads / month |
| Licence | Open weights |
About
This repository contains a fine-tuned Whisper Large V3 model for Russian speech recognition. It serves as the core transcription component of the Pisets system, specifically optimized for long audio recordings such as lectures and interviews.
The model was presented in the paper Pisets: A Robust Speech Recognition System for Lectures and Interviews.
The Pisets system implements a three-component architecture to improve recognition accuracy while minimizing hallucinations:
The complete source code and instructions for using the system (including generation of SRT and DocX files) can be found in the GitHub repository:
GitHub: https://github.com/bond005/pisets
If you use this model or the Pisets system in your research, please cite:
@article{bondarenko2026pisets,
title={Pisets: A Robust Speech Recognition System for Lectures and Interviews},
author={Ivan Bondarenko},
journal={arXiv preprint arXiv:2601.18415},
year={2026}
}
From the published model card. Full card on the HuggingFace links in the sidebar.
Benchmarks
As published on the model card — the maker's own numbers, not measured by AxForge.
| Task | Dataset | Metric | Score |
|---|---|---|---|
| Speech Recognition | Podlodka.io | WER (with punctuation and capital letters) | 20.910 |
| Speech Recognition | Podlodka.io | WER (without punctuation) | 10.987 |
| Speech Recognition | Russian Librispeech | WER (without punctuation) | 9.795 |
Using it via the API
Once AxForge deploys whisper-large-ru-podlodka for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (whisper-large-ru-podlodka 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="whisper-large-ru-podlodka" -F file=@audio.mp3
Create an account — your API key is available in the console. 3M free tokens every 30 days with every new account.