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license: mit
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[Paper](https://arxiv.org/abs/2509.06949) | [Code](https://github.com/Gen-Verse/dLLM-RL)
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We introduce **TraDo**, SOTA diffusion language model, trained with **TraceRL**.
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* **TraDo-4B-Instruct** and **TraDo-8B-Instruct** outperform similarly sized strong AR models across math reasoning tasks.
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* **TraDo-8B-Thinking** is the first Long-CoT diffusion language model.
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<p align="center">
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<img src="https://github.com/yinjjiew/Data/raw/main/dllm-rl/figure1.png" width="100%"/>
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</p>
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# Citation
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```
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name: TraDo-4B-Instruct
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base_model: Gen-Verse/TraDo-4B-Instruct
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license: mit
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pipeline_tag: text-generation
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tasks: text-generation
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language: en
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---
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> [!IMPORTANT]
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> Original Model Link : [https://huggingface.co/Gen-Verse/TraDo-4B-Instruct](https://huggingface.co/Gen-Verse/TraDo-4B-Instruct)
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>
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```
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name: TraDo-4B-Instruct
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base_model: Gen-Verse/TraDo-4B-Instruct
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license: mit
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pipeline_tag: text-generation
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tasks: text-generation
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language: en
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```
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# TraDo-4B-Instruct
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TraDo-4B-Instruct is a diffusion language model. This repo makes the `flash_attn` and CUDA libraries optional so that all frameworks can be supported.
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