[Phi-4-Super finetuned] from Microsoft's Phi-4 is a state-of-the-art open model developed with a focus on responsible problem solving and advanced reasoning capabilities. Built upon a diverse blend of synthetic datasets, carefully filtered public domain websites, and high-quality academic books and Q&A datasets, Phi-4-Super ensures that small, capable models are trained with datasets of exceptional depth and precision.

Phi-4-Super adopts a robust safety post-training approach using open-source and in-house synthetic datasets. This involves a combination of SFT (Supervised Fine-Tuning) and iterative DPO (Direct Preference Optimization) techniques, ensuring helpful and harmless outputs across various safety categories.

This is a merge of pre-trained language models created using mergekit.

This model was merged using the Model Stock merge method using unsloth/phi-4 as a base.

The following models were included in the merge:

The following YAML configuration was used to produce this model: