Shypd.aiThe largest open index of AI toolsmergekit is an Open Source & Models tool that provides a toolkit for merging pre-trained large language models. It supports various merging algorithms and can operate on CPU or with minimal VRAM.
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mergekit is a robust toolkit designed for merging pre-trained large language models, offering an out-of-core approach that enables complex merges even in resource-constrained environments. It supports execution entirely on CPU or with acceleration using as little as 8 GB of VRAM. The toolkit features a wide array of merging algorithms, including Linear, SLERP, TIES, and DARE, with more methods continuously being added. Key capabilities include support for various model architectures like Llama and Mistral, lazy loading of tensors for low memory use, and advanced techniques like piecewise assembly of models and Mixture of Experts merging. It also facilitates multi-stage merging and raw PyTorch model merging, making it a versatile solution for AI researchers and developers looking to combine model strengths without extensive retraining.
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