HINT-lab/Qwen2.5-7B-Instruct-Self-Calibration download history

HINT-lab/Qwen2.5-7B-Instruct-Self-Calibration is a text generation dataset on the Hugging Face Hub. In the last 30 days it was downloaded 99 times (5 in the last 7 days), and 3,329 times in total. It ranks #114,681 among datasets by monthly downloads.

Efficient Test-Time Scaling via Self-Calibration This repository contains datasets used in the paper Efficient Test-Time Scaling via Self-Calibration. The datasets are used to evaluate the effectiveness of test-time scaling methods for LLMs. Each config_name in the metadata refers to a

Models trained on Qwen2.5-7B-Instruct-Self-Calibration

1 models list it as training data.

Open HINT-lab/Qwen2.5-7B-Instruct-Self-Calibration on Hugging Face

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