---
library_name: transformers
tags: []
---

# HinDiffusionLM: Diffusion Language Model for Hindi Language


Turning BERT-based model into an instruct-tuned LLADA-style Diffusion LLM on Hindi instruction data using a masked language modeling approach with diffusion-style generation. The model learns to iteratively denoise masked tokens to generate coherent responses in Hindi (trained on Kaggle GPU T4*2).

## Experiments

### Models Evaluated

| Model | Performance | 
|-------|-------------|
| `google/muril-base-cased` | **Best** |
| `google/muril-large-cased` | Poor |
| `ai4bharat/indic-bert` | Moderate |

### Datasets Tested

| Dataset | Subset | Status | Notes |
|---------|--------|--------|-------|
| `ai4bharat/indic-instruct-data-v0.1` | `anudesh` | **Used** | Primary dataset for demonstration |
| `ai4bharat/indic-instruct-data-v0.1` | `lm_sys` | Skipped | Too time-intensive for training & GPU constraints|