We utilize the lm-eval-harness library to conduct evaluations. This library allows us to efficiently evaluate language models, ensuring robustness and accuracy in our assessments. Feel free to explore our project and discover the capabilities of the language models we employ.

git clone https://huggingface.co/datasets/vlsp-2023-vllm/ViLLM-Eval cd ViLLM-Eval pip install -e .