knc6
/

atomgpt_mistral_tc_supercon

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 - chemistry
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-# Model Card for Model ID
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-## Model Details
-### Model Description
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-GitHub: https://github.com/usnistgov/atomgpt
-Training colab notebook: https://colab.research.google.com/github/knc6/jarvis-tools-notebooks/blob/master/jarvis-tools-notebooks/atomgpt_example.ipynb
-Inference colab notebook: https://colab.research.google.com/github/knc6/jarvis-tools-notebooks/blob/master/jarvis-tools-notebooks/atomgpt_example_huggingface.ipynb
 AtomGPT: Atomistic Generative Pretrained Transformer for Forward and Inverse Materials Design
-Reference: https://pubs.acs.org/doi/full/10.1021/acs.jpclett.4c01126
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 ### Framework versions
 - PEFT 0.11.1

 - chemistry
 ---
+# Fine-tune models for atomic structure generation of superconductor candidate materials
 AtomGPT: Atomistic Generative Pretrained Transformer for Forward and Inverse Materials Design
+<!-- Provide a quick summary of what the model is/does. -->
+<!-- Provide a longer summary of what this model is. -->
+GitHub: [https://github.com/usnistgov/atomgpt](https://github.com/usnistgov/atomgpt)
+[Training colab notebook](https://colab.research.google.com/github/knc6/jarvis-tools-notebooks/blob/master/jarvis-tools-notebooks/atomgpt_example.ipynb)
+[Inference colab notebook](https://colab.research.google.com/github/knc6/jarvis-tools-notebooks/blob/master/jarvis-tools-notebooks/atomgpt_example_huggingface.ipynb)
+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)
+-
 ### Framework versions
 - PEFT 0.11.1