rubert-tiny-toxicity
This is the cointegrated/rubert-tiny model fine-tuned for classification of toxicity and inappropriateness for short informal Russian texts, such as comments in social networks.
Params
10 M
Context
512
Downloads 30d
369 K
Likes
48
Download history
daily snapshots · 28 days452 K274 K
Aug 24Sep 2Sep 11Sep 20
Can you run it?
Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.
| File | Quant | Size | Est. VRAM | Verdict on RTX 4090 · 24 GB |
|---|---|---|---|---|
| model.safetensors | f32 | 0.0 GB | 0.6 GB | ✅ Runs comfortably |
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.
Specifications
- Architecture
- BertForSequenceClassification
- Parameters
- 10 M
- Tensor type
- F32
- Context length
- 512
- Vocabulary
- 29,564
- Layers / heads
- 3 / 12
- Licence
- mit
- First seen on the Hub
- 2022-03-02
- Training datasets
- undisclosed
- Added to our catalog
- 2026-08-24
Compare with any text-classification model