This is the official code repository for KALE-LM-Chem.
For certain complex testing tasks, we modified part of the code for better evaluation.
- Paper: https://arxiv.org/abs/2409.18695
- Models:
- Llama3-KALE-LM-Chem-8B: https://huggingface.co/USTC-KnowledgeComputingLab/Llama3-KALE-LM-Chem-8B
- Llama3-KALE-LM-Chem-1.5-8B: https://huggingface.co/USTC-KnowledgeComputingLab/Llama3-KALE-LM-Chem-1.5-8B
AI for Electrolyte is gaining increasing attention. To evaluate the performance of large models in the field of electrolyte, we collaborated with chemists to build a small-scale test set and compared the performance of our model with other models on this test set. The test data and testing code have been made open source.
- 1.jsonl for Molecular Property
- 2.jsonl for Electrolyte Formula
- 3.jsonl for Text Understanding
- 4.jsonl for College Battery QA
@article{dai2024kale,
title={KALE-LM: Unleash The Power Of AI For Science Via Knowledge And Logic Enhanced Large Model},
author={Dai, Weichen and Chen, Yezeng and Dai, Zijie and Huang, Zhijie and Liu, Yubo and Pan, Yixuan and Song, Baiyang and Zhong, Chengli and Li, Xinhe and Wang, Zeyu and others},
journal={arXiv preprint arXiv:2409.18695},
year={2024}
}