Ultra-Instruct-12B
42 downloads
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on Hugging Face
updated
Papers using or citing this model 2
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TIES-Merging: Resolving Interference When Merging Models
Transfer learning - i.e., further fine-tuning a pre-trained model on a downstream task - can confer significant advantages, including improved downstream performance, faster convergence, and better sample efficiency. These advantages...
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Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch
In this paper, we unveil that Language Models (LMs) can acquire new capabilities by assimilating parameters from homologous models without retraining or GPUs. We first introduce DARE to set most delta parameters (i.e., the disparity...