Low-Rank Kronecker Product (LoKr), is a LoRA-variant method that approximates the large weight matrix with two low-rank matrices and combines them with the Kronecker product. LoKr also provides an optional third low-rank matrix to provide better control during fine-tuning.
[[autodoc]] tuners.lokr.config.LoKrConfig
[[autodoc]] tuners.lokr.model.LoKrModel