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Arcee's MergeKit: A Toolkit for Merging Large Language Models
March 21, 2024, 4:42 a.m. | Charles Goddard, Shamane Siriwardhana, Malikeh Ehghaghi, Luke Meyers, Vlad Karpukhin, Brian Benedict, Mark McQuade, Jacob Solawetz
cs.LG updates on arXiv.org arxiv.org
Abstract: The rapid expansion of the open-source language model landscape presents an opportunity to merge the competencies of these model checkpoints by combining their parameters. Advances in transfer learning, the process of fine-tuning pre-trained models for specific tasks, has resulted in the development of vast amounts of task-specific models, typically specialized in individual tasks and unable to utilize each other's strengths. Model merging facilitates the creation of multitask models without the need for additional training, offering …
arcee arxiv cs.ai cs.cl cs.lg language language models large language large language models merging toolkit type
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