We introduce LLaDA 1.5, a competitive large diffusion language model, trained by variance-reduced preference optimization (VRPO), as presented in the paper LLaDA 1.5: Variance-Reduced Preference Optimization for Large Language Diffusion Models. Compared with LLaDA-8B-Instruct, LLaDA 1.5 achieves better performance on a wide range of tasks, including Math, Code, and Alignment tasks.

Text generation

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LLaDA-8B-Base

GSAI-ML

We introduce LLaDA, a diffusion model with an unprecedented 8B scale, trained entirely from scratch, rivaling LLaMA3 8B in performance.

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LLaDA-8B-Instruct

GSAI-ML

We introduce LLaDA, a diffusion model with an unprecedented 8B scale, trained entirely from scratch, rivaling LLaMA3 8B in performance.

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LLaDA-V

GSAI-ML

--- **Update (March 2026):** We are excited to introduce LLaDA-o, the latest model in the LLaDA series. As an effective and length-adaptive omni diffusion model for unified multimodal understanding and generation, LLaDA-o extends the LLaDA line to broader multimodal settings, supporting visual understanding, text-to-image generation, and instruction-based image editing. For more details, please check out the paper and code. --- We introduce LLaDA-V, a competitive diffusion-based vision-language model that outperforms other diffusion MLLMs. It was presented in the paper LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning.

Visual QA

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ReFusion

GSAI-ML

基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

Basic profile indexed · More details to follow

Text generation

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iLLaDA-8B-Base

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ReFusion

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