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# Dimple-7B 💧
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**Dimple** is the first Discrete Diffusion Multimodal Large Language Model (DMLLM) that leverages a hybrid training paradigm combining autoregressive and diffusion-based instruction tuning. The model architecture is similar to Qwen and LLaVA, while introducing
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* **Stage 1**: Autoregressive fine-tuning for alignment and initial instruction tuning.
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* **Stage 2**: Diffusion-based fine-tuning for enhanced instruction-following capabilities.
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# Dimple-7B 💧
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**Dimple** is the first Discrete Diffusion Multimodal Large Language Model (DMLLM) that leverages a hybrid training paradigm combining autoregressive and diffusion-based instruction tuning. The model architecture is similar to Qwen and LLaVA, while introducing an **autoregressive-then-diffusion** training strategy:
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* **Stage 1**: Autoregressive fine-tuning for alignment and initial instruction tuning.
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* **Stage 2**: Diffusion-based fine-tuning for enhanced instruction-following capabilities.
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