Transformers
Safetensors
PEFT
Inference Endpoints
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@@ -3,6 +3,7 @@ library_name: transformers
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  tags:
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  - transformers
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  - peft
 
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  license: apache-2.0
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  base_model: mistralai/Mistral-7B-Instruct-v0.2
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  datasets:
@@ -15,7 +16,7 @@ datasets:
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  The model is fine-tuned (calibration-tuned) using a [dataset](https://huggingface.co/datasets/calibration-tuning/Mistral-7B-Instruct-v0.2-20k-oe) of *open-ended* generations from `mistralai/Mistral-7B-Instruct-v0.2`, 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 [Open-Ended CT Models](https://huggingface.co/collections/calibration-tuning/open-ended-ct-models-66043b12c7902115c826a20e).
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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: apache-2.0
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  base_model: mistralai/Mistral-7B-Instruct-v0.2
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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/Mistral-7B-Instruct-v0.2-20k-oe) of *open-ended* generations from `mistralai/Mistral-7B-Instruct-v0.2`, 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 [Open-Ended CT Models](https://huggingface.co/collections/calibration-tuning/open-ended-ct-models-66043b12c7902115c826a20e).
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