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| title: README |
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| <div align="center"> |
| <img src="https://cdn-uploads.huggingface.co/production/uploads/63da3d7ae697e5898cb86854/4EnLA20pUWnvqppA5y5Q4.gif" alt="denoising_small_16_9" /> |
| <h1>Diffutron: A Masked Diffusion Language Model for Turkish Language</h1> |
| </div> |
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| <p align="center"> |
|    | 🤗 <a href="https://huggingface.co/collections/diffutron/diffutronlm">Models</a>   | |
|    📊 <a href="https://huggingface.co/datasets/diffutron/DiffutronLM-Pretraining-Corpus">Pre-training Dataset</a>   | |
|    📄 <a href="https://arxiv.org/abs/2603.20466">Paper</a>   | |
| </p> |
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| ## Overview |
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| Diffutron is a lightweight, non-autoregressive Masked Diffusion Language Model (MDLM) specifically optimized for the Turkish language. By utilizing a discrete diffusion process, Diffutron generates text through iterative refinement, allowing for bi-directional context awareness and high parameter efficiency. |
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| ## Core Features |
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| * **Architecture:** Discrete Masked Diffusion (MDLM) using a 307M parameter encoder backbone. |
| * **Efficiency:** Achieves competitive performance against 2B+ parameter autoregressive models on Turkish benchmarks. |
| * **Adaptation:** LoRA-based (r=256) continual pre-training on a 2M sequence Turkish corpus. |
| * **Instruction Tuning:** Progressive strategy using LlamaTurk and InstrucTurca datasets for enhanced command following. |
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| ## Benchmarks |
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| Diffutron achieves a significant reduction in perplexity and competitive scores across the CETVEL benchmark suite: |
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| | Benchmark | Diffutron-1st-Stage (0.3B) | Diffutron-2nd-Stage (0.3B) | TURNA (1.1B) | Kumru (2B) | Kanarya (2B) | Llama-3.2 (3B) | Trendyol (7B) | Aya-101 (13B) | |
| | :--- | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | |
| | **Belebele_TR** | 22.22 | 27.00 | 22.56 | 29.00 | 28.11 | **55.78** | 36.22 | 22.89 | |
| | **EXAMS_TR** | 25.95 | 27.74 | 23.66 | **30.03** | **30.03** | 26.21 | 28.50 | 22.90 | |
| | **IronyTR** | 50.67 | **52.00** | 48.33 | 51.00 | 50.00 | 50.17 | 50.00 | **52.17** | |
| | **News_Cat** | 23.20 | 32.40 | 32.80 | 26.40 | 66.80 | 64.00 | **81.20** | 20.00 | |
| | **MNLI_TR** | 33.29 | 32.81 | 34.94 | **36.42** | 33.40 | 34.76 | 35.19 | 27.90 | |
| | **STS_TR** | 17.77 | **18.78** | 14.21 | 11.75 | 12.91 | 12.91 | 15.52 | 16.97 | |
| | **XCOPA_TR** | 53.80 | 52.00 | 55.80 | 54.00 | **64.20** | 54.60 | 61.00 | 59.60 | |
| | **Average** | 32.41 | **34.68** | 33.19 | 34.09 | 40.78 | 42.63 | **43.95** | 31.78 | |
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| ## Citation |
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|
| ```bibtex |
| @misc{diffutron2026, |
| title={Diffutron: A Masked Diffusion Language Model for Turkish Language}, |
| author={Şuayp Talha Kocabay and Talha Rüzgar Akkuş}, |
| year={2026}, |
| eprint={2603.20466}, |
| archivePrefix={arXiv}, |
| primaryClass={cs.CL}, |
| url={https://arxiv.org/abs/2603.20466}, |
| } |
| ``` |
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