# Literary creation optimization

This is a 12B-parameter language model merged using the mergekit tool, combining the strengths of multiple specialized models with a focus on reasoning and psychology-related tasks.

A 70B-parameter large language model based on the Llama 3.3 architecture, enhanced through the merging of multiple superior model components to achieve improved story narration, scene description, and prose detailing capabilities

A multi-stage training model based on Qwen2.5-14B and Qwen2.5-14B-Instruct, focusing on text generation and instruction understanding tasks.

A large language model based on the Mistral Nemo architecture, focusing on text generation, with an ultra-long context processing ability of 128k+ tokens. It is particularly suitable for creative writing and role-playing.