zjunlp/HalDet-llava-7b

HalDet-LLaVA

HalDet-LLaVA is designed for multimodal hallucination detection, trained on the MHaluBench training dataset, achieving detection performance close to that of using GPT4-Vision.

HalDet-LLaVA is trained on the MHaluBench training set using LLaVA-v1.5, specific parameters can be found in the file finetune_task_lora.sh.

We trained HalDet-LLaVA on 1-A800 in 1 hour. If you don"t have enough GPU resources, we will soon provide model distributed training scripts.

You can inference our HalDet-LLaVA by using inference.py

To view more detailed information about HalDet-LLaVA and the train dataset, please refer to the EasyDetect and readme