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README.md

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-license: apache-2.0
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+license: apache-2.0
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+This is the LACIE fine-tuned version of Mistral-7B, finetuned according to our paper [LACIE: Listener-Aware Finetuning for Confidence Calibration in Large Language Models](arxiv.org/abs/2405.21028) 
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+This model is a fine-tuned version of [Mistral-7B base](https://huggingface.co/mistralai/Mistral-7B-v0.1) that has been finetuned using data from [TriviaQA](https://huggingface.co/datasets/mandarjoshi/trivia_qa).
+LACIE is pragmatic preference-based finetuning method that optimizes models to be better calibrated w.r.t. both implicit and explicit confidence statements.
+The preferences in the dataset are based on correctness and whether listener accepted to rejected the answer. 
+For more details, please see our paper. 
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+## Model Architecture
+The architecture is the same as Mistral-7B; the weights in this repo are adapter weights for Mistral. 
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