MergeKit Cloud Brings AI Model Merging Online, Seeks Open-Source Contributors

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MergeKit, a tool that enables developers to merge large language models without costly retraining, is expanding into a cloud-based platform called MergeKit Cloud. The project aims to make model merging accessible beyond local machine constraints by supporting cloud-bucket storage layers with optimized tensor chunking and lazy weight loading. The team is also working to integrate automated benchmarking suites such as LMSYS and AlpacaEval directly into the merging workflow. Additionally, a visual recipe block builder is being developed to allow non-technical enterprise users to participate in model creation. The project is actively inviting open-source contributors across MLOps, evaluation, and frontend development areas.

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