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USTC-KnowledgeComputingLab_-_Llama3-KALE-LM-Chem-1.5-8B-gguf
RichardErkhov/USTC-KnowledgeComputingLab_-_Llama3-KALE-LM-Chem-1.5-8B-gguf
USTC-KnowledgeComputingLab_-_Llama3-KALE-LM-Chem-1.5-8B-gguf is a machine learning model from RichardErkhov. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
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At a glance
- Access
- Public
- Created
- Oct 10, 2024
- Updated
- Oct 10, 2024
- SHA
- 4770e289
Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
Llama3-KALE-LM-Chem-1.5-8B - GGUF
- Model creator: https://huggingface.co/USTC-KnowledgeComputingLab/
- Original model: https://huggingface.co/USTC-KnowledgeComputingLab/Llama3-KALE-LM-Chem-1.5-8B/
Original model description:
license: llama3 language:
- en base_model:
- meta-llama/Meta-Llama-3-8B-Instruct tags:
- KALE-LM
- science
- chemistry pipeline_tag: 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 | 57.53 | 64.16 |
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}
}
- Created
- Oct 10, 2024
- Updated
- Oct 10, 2024