CycleResearcher is indeed a highly flexible academic research platform that supports a wide range of mainstream pre-trained models including Mistral, Llama3.1 and Qwen2.5. The model selection provided by the system covers different scales from 12B to 123B, and users can choose the most suitable model configuration according to the task complexity and hardware conditions. For example, a routine paper generation task may use a 12B model, while a more complex multi-perspective review may require a 14B or larger scale model. This modular design allows the system to meet different needs from individual research to institutional-level applications, while also supporting users to integrate customized models into existing workflows.
This answer comes from the articleCycleResearcher: an AI-powered automation tool for academic research and reviewing manuscriptsThe
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