---
license: mit
language:
  - ru
library_name: onnxruntime
pipeline_tag: token-classification
tags:
  - punctuation
  - capitalization
  - russian
  - onnx
  - int8
---

# scribe-punct-ru

Russian punctuation + capitalization models for [Scribe](https://github.com/AIgrator/Scribe)
offline voice dictation, exported to ONNX and quantized to int8 for CPU inference.

The repo hosts two model sizes. Scribe downloads the one listed in its
[`punct_models.json`](https://github.com/AIgrator/Scribe/blob/main/punct_models.json)
catalog, into `models/punct/ru/`.

## Models

| Model | Files | Size | Speed (CPU) | Notes |
|---|---|---|---|---|
| **RUPunct_big** (BERT-base) | `rupunct_big_int8.onnx`, `rupunct_big_tokenizer.json`, `rupunct_big_model.json` | ~178 MB | ~15 ms per phrase | Best quality; default in the Scribe catalog |
| RUPunct_small | `rupunct_small_int8.onnx`, `tokenizer.json`, `model.json` | ~29 MB | ~1–3 ms per phrase | Lightweight alternative, kept for compatibility |

Both models share the same 33-label scheme (case of *this* word +
mark after it), so the same decoding code in Scribe works for both.
The sidecar `*_model.json` is the Scribe label map and decoding style description.

## Label scheme

33 classes: case of **this** word (`UPPER` / `LOWER` / `TOTAL`) + mark after it
(`PERIOD`, `COMMA`, `QUESTION`, `TIRE`, `VOSKL`, `DVOETOCHIE`, `PERIODCOMMA`,
`DEFIS`, `QUESTIONVOSKL`, `MNOGOTOCHIE`, `O`).

## Usage in Scribe

Downloaded by Scribe's model manager into `models/punct/ru/`, runs fully offline
via ONNX Runtime. No `torch` / `transformers` needed at runtime.

## License / attribution

MIT.

- **RUPunct_big**: base model [`RUPunct/RUPunct_big`](https://huggingface.co/RUPunct/RUPunct_big);
  fp32 ONNX export by [`IcPlus/rupunct-onnx`](https://huggingface.co/IcPlus/rupunct-onnx) (MIT);
  dynamic int8 quantization is a format conversion only, weights were not retrained.
- **RUPunct_small**: export of `ekhodzitsky/rupunct-small-onnx` (MIT), converted
  from `RUPunct/RUPunct_small`.

Scribe sidecars (`model.json`, `rupunct_big_model.json`) and this card are MIT as well.