BUAADreamer/MLLM-Finetuning-Demo
使用LLaMA-Factory微调多模态大语言模型的示例代码 Demo of Finetuning Multimodal LLM with LLaMA-Factory
This project provides example code for fine-tuning large multimodal language models (MLLMs) using LLaMA-Factory. It helps developers customize an existing MLLM with their own image-text datasets, producing a specialized model ready for specific applications. The target user is a machine learning engineer or researcher looking to adapt MLLMs.
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Use this if you are a machine learning developer needing to specialize an existing large multimodal language model with your own dataset to improve its performance on specific tasks.
Not ideal if you are an end-user without programming experience or if you need a ready-to-use MLLM without custom training.
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Sep 08, 2024
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