The liminerity/M7-7b is a 7 billion parameter language model created by liminerity, developed through a series of slerp merges using mergekit. This model integrates components from various base models, including ammarali32/multi_verse_model, MSL7/INEX12-7b, and yam-peleg/Experiment26-7B. It is designed to combine the strengths of its constituent models, offering a versatile foundation for general language generation tasks.
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