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--- |
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base_model: unsloth/mistral-7b-bnb-4bit |
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library_name: peft |
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license: mit |
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language: |
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- en |
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tags: |
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- chemistry |
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- text-generation-inference |
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pipeline_tag: text-generation |
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--- |
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# Fine-tune models for atomic structure generation of superconductor candidate materials |
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AtomGPT: Atomistic Generative Pretrained Transformer for Forward and Inverse Materials Design |
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<!-- Provide a quick summary of what the model is/does. --> |
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<!-- Provide a longer summary of what this model is. --> |
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GitHub: [https://github.com/usnistgov/atomgpt](https://github.com/usnistgov/atomgpt) |
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[Training colab notebook](https://colab.research.google.com/github/knc6/jarvis-tools-notebooks/blob/master/jarvis-tools-notebooks/atomgpt_example.ipynb) |
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[Inference colab notebook](https://colab.research.google.com/github/knc6/jarvis-tools-notebooks/blob/master/jarvis-tools-notebooks/atomgpt_example_huggingface.ipynb) |
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Reference: [Choudhary, K. (2024). AtomGPT: Atomistic Generative Pretrained Transformer for Forward and Inverse Materials Design. The Journal of Physical Chemistry Letters, 15, 6909-6917.](https://pubs.acs.org/doi/full/10.1021/acs.jpclett.4c01126) |
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### Framework versions |
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- PEFT 0.11.1 |
