# High-density parameters

This is a pre-trained language model merged using the mergekit tool, employing the DARE TIES method to fuse multiple Gemma3-12B variant models.

MagTie-v1-12B is a 12B-parameter language model merged using the DARE TIES algorithm, combining the strengths of multiple pre-trained models

This project uses the mergekit and DARE TIES methods to merge the soob3123/amoral-gemma3-12B-v2 and IlyaGusev/saiga_gemma3_12b models, aiming to provide more powerful language processing capabilities.

ElvenMaid-12B-v2 is a 12B parameter language model based on the ChatML format, created by merging multiple pre-trained models using mergekit's TIES method, supporting English and Japanese interactions.

This is a 9B-parameter language model based on the Gemma-2-9B series, fused using the DARE TIES method, combining multiple optimized versions of the Gemma model.

This is a multi-model fusion version based on the Gemma-2-9B series models, merged using the DARE TIES method, integrating the strengths of multiple Gemma variants.

A 32B-parameter large language model constructed based on the SCE fusion method, integrating multiple high-performance pre-trained models

An intermediate model during the Tantum merging process, created by merging multiple 24B-parameter Mistral and Llama3 variants, suitable for role-playing and text generation tasks.