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@@ -17,7 +17,7 @@ This repository contains the **LoRA adapter** for the `Dream-org/Dream-v0-Instru
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  This adapter allows the `Dream-Base-7B` diffusion LLM (dLLM) to achieve inference speeds that are significantly faster than both its original version and leading autoregressive (AR) models like LLaMA3, while maintaining comparable output quality.
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- The D2F method and its results are detailed in the paper: **[D2F: Diffusion LLMs Can Do Faster-Than-AR Inference via Discrete Diffusion Forcing](https://github.com/zhijie-group/Discrete-Diffusion-Forcing/blob/main/Discrete%20Diffusion%20Forcing.pdf)**.
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  - **Official Code:** [D2F GitHub Repository](https://github.com/zhijie-group/Discrete-Diffusion-Forcing)
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  - **Demo Space:** [D2F-LLaDA-Instruct-8B](https://huggingface.co/spaces/zhijie3/D2F-LLaDA-Instruct-8B)
 
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  This adapter allows the `Dream-Base-7B` diffusion LLM (dLLM) to achieve inference speeds that are significantly faster than both its original version and leading autoregressive (AR) models like LLaMA3, while maintaining comparable output quality.
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+ The D2F method and its results are detailed in the paper: **[D2F: Diffusion LLMs Can Do Faster-Than-AR Inference via Discrete Diffusion Forcing](https://arxiv.org/abs/2508.09192)**.
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  - **Official Code:** [D2F GitHub Repository](https://github.com/zhijie-group/Discrete-Diffusion-Forcing)
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  - **Demo Space:** [D2F-LLaDA-Instruct-8B](https://huggingface.co/spaces/zhijie3/D2F-LLaDA-Instruct-8B)