# SLERP fusion model

A pre-trained language model fusion quantized GGUF file set created based on mergekit, using asymmetric gradient SLERP method to fuse two 12B parameter models, suitable for text generation tasks.

A 12B-parameter language model based on the SLERP fusion method, combining the strengths of Mag-Mell and UnslopNemo models, suitable for creative writing and role-playing scenarios

This is a 22B-parameter language model merged from Cydonia-22B-v1.3 and Magnum-v4-22B using the SLERP fusion method

A 22B-parameter language model merged from Cydonia-22B-v1.2 and Magnum-v4-22b using the SLERP method

This is a hybrid model created through SLERP (Spherical Linear Interpolation) fusion of two 10.7B parameter models, combining the strengths of Fimbulvetr and Kuro-Lotus, demonstrating excellent performance in text generation tasks.

A 7B-parameter large language model based on the Mistral architecture, utilizing SLERP fusion technology to merge weights from multiple high-performance models