# Suyash Sahu: Open-Weight Models and Datasets
Source: https://savrn.com/model-publishers/suyashsahu00
Markdown alternate of the page above; the site index is https://savrn.com/llms.txt

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## Models

Model · Text classification

### [muril-cyberbullying-detection](https://savrn.com/models/muril-cyberbullying-detection)

[Suyash Sahu](https://savrn.com/model-publishers/suyashsahu00)

This model is a fine-tuned version of Google's MuRIL (Multilingual Representations for Indian Languages) BERT architecture, specifically adapted for multi-class Cyberbullying & Hate Speech Detection. It categorizes social media text and online commentary across 6 categories: 1. age: Cyberbullying targeting an individual's age. 2. ethnicity: Bullying or hate speech targeting ethnicity, race, or caste. 3. gender: Misogyny, sexism, or gender-based harassment. 4. religion: Hate speech or insults targeting religious beliefs. 5. othercyberbullying: General toxic harassment, insults, or threats. 6. notcyberbullying: Benign, safe, neutral, or positive text. Evaluated on the held-out multi-class…

Open weights mit 238M parameters 512 tokens

[View model](https://savrn.com/models/muril-cyberbullying-detection)

## Explore More

- [All model publishers](https://savrn.com/model-publishers)
- [The model directory](https://savrn.com/models)
- [The dataset directory](https://savrn.com/datasets)

## Source

- Listed from their public repositories, read 2026-09-23.
- [Hugging Face profile](https://huggingface.co/suyashsahu00)
- [How the hub is built](https://savrn.com/model-hub/methodology)