LLaDA

LLaDA is a new type of diffusion model that generates text through the diffusion process, which is different from the traditional autoregressive model. It excels in language generation scalability, instruction following, contextual learning, conversational capabilities, and compression capabilities. Developed by researchers from Renmin University of China and Ant Group, the model is 8B in size and trained entirely from scratch. Its main advantage is that it can flexibly generate text through the diffusion process and support multiple language tasks, such as mathematical problem solving, code generation, translation and multi-turn dialogue. The emergence of LLaDA provides a new direction for the development of language models, especially in terms of generation quality and flexibility.

This model is suitable for users who require high-quality language generation, multi-language translation, programming assistance and multi-round dialogue, such as researchers, developers, students and professionals. It can help users quickly generate text content, improve work efficiency, and support multiple language tasks to meet the needs of different scenarios.