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README.md
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tags:
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- transformers
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- peft
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license: llama2
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base_model: meta-llama/Llama-2-7b-hf
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datasets:
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The model is fine-tuned (calibration-tuned) using a [dataset](https://huggingface.co/datasets/calibration-tuning/Llama-2-7b-hf-20k-choice) of *multiple-choice* generations from `meta-llama/Llama-2-7b-hf`, labeled for correctness.
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At test/inference time, the probability of correctness defines the confidence of the model in its answer.
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For full details, please see our [paper](https://arxiv.org/) and supporting [code](https://github.com/activatedgeek/calibration-tuning).
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**Other Models**: We also release a broader collection of [Multiple-Choice CT Models](https://huggingface.co/collections/calibration-tuning/multiple-choice-ct-models-66043dedebf973d639090821).
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tags:
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- transformers
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- peft
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- arxiv:2406.08391
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license: llama2
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base_model: meta-llama/Llama-2-7b-hf
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datasets:
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The model is fine-tuned (calibration-tuned) using a [dataset](https://huggingface.co/datasets/calibration-tuning/Llama-2-7b-hf-20k-choice) of *multiple-choice* generations from `meta-llama/Llama-2-7b-hf`, labeled for correctness.
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At test/inference time, the probability of correctness defines the confidence of the model in its answer.
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+
For full details, please see our [paper](https://arxiv.org/abs/2406.08391) and supporting [code](https://github.com/activatedgeek/calibration-tuning).
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**Other Models**: We also release a broader collection of [Multiple-Choice CT Models](https://huggingface.co/collections/calibration-tuning/multiple-choice-ct-models-66043dedebf973d639090821).
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