Llama3-KALE-LM-Chem-1.5-8B/README.md

license, language, base_model, tags, pipeline_tag

license	language	base_model	tags	pipeline_tag
llama3	en	meta-llama/Meta-Llama-3-8B-Instruct	KALE-LM science chemistry	text-generation

Llama3-KALE-LM-Chem-1.5-8B

Introduction

We are thrilled to present Llama3-KALE-LM-Chem-1.5-8B, a new version of our open-source KALE-LM for science, which specializes in chemistry.

We have trained our model with a larger amount of data.

Benchmarks

Open Benchmarks

Models	ChemBench	MMLU	MMLU-Chem	SciQ	IE(Acc)	IE(LS)
GPT-3.5	47.15	69.75	53.32	89.6	52.98	68.28
GPT-4	53.72	78.67	63.70	94.10	54.20	69.74
Llama3-8B-Instruct	46.02	68.3	51.10	93.30	45.83	61.22
LlaSMol	28.47	54.47	33.24	72.30	2.16	3.23
ChemDFM	44.44	58.11	45.60	86.70	7.61	11.49
ChemLLM-7B-Chat	34.16	61.79	48.39	94.00	29.66	39.17
ChemLLM-7B-Chat-1.5-SFT	42.75	63.56	49.63	95.10	14.96	19.61
Llama3-KALE-LM-Chem-1.5-8B	57.01	68.06	54.83	91.60	71.70	81.98

ChemBench Details (Evaluated By OpenCompass)

Models	NC	PP	M2C	C2M	PP	RS	YP	TP	SP	Average
GPT-3.5	46.93	56.98	85.28	38.25	43.67	42.33	30.33	42.57	38	47.15
GPT-4	54.82	65.02	92.64	52.88	62.67	52.67	42.33	24.75	35.67	53.72
Llama3-8B-Instruct	51.31	27.79	90.30	40.88	34.00	30.00	45.33	60.89	33.67	46.02
LlaSMol	27.78	29.34	31.44	23.38	25.67	24.00	37.33	34.65	22.67	28.47
ChemDFM	36.92	55.57	83.95	42.00	40.00	37.33	39.00	33.17	32.00	44.44
ChemLLM-7B-Chat	41.05	29.76	85.28	26.12	26.00	24.00	20.00	24.26	31.00	34.16
ChemLLM-7B-Chat-1.5-SFT	50.06	49.51	85.28	38.75	38.00	26.67	28.33	31.68	33.67	42.44
Llama3-KALE-LM-Chem-1.5-8B	61.33	43.44	90.30	53.62	72.67	53.67	46.00	47.03	45.00	57.01

Cite This Work

@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}
}