--- base_model: [] library_name: transformers tags: - mergekit - merge --- # Stellar Odyssey 12b v0.0 *We will see... Come with me, take the journey~* Listen to the song on Youtube: https://www.youtube.com/watch?v=3FEFtFMBREA Soo... after I failed the first time, I took a crack at merging again. This time, these models were used mistralai/Mistral-Nemo-Base-2407 Sao10K/MN-12B-Lyra-v4 nothingiisreal/MN-12B-Starcannon-v2 Gryphe/Pantheon-RP-1.5-12b-Nemo License for this model is: cc-by-nc-4.0 ~~I hope this was worth the time I spent to create this merge, lol~~ Gated access for now, gated access will be disabled when testing is done, and thanks to all who have interest. Details This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). ## Merge Details ### Merge Method This model was merged using the della_linear merge method using C:\Users\lg911\Downloads\Mergekit-Fixed\mergekit\mistralai_Mistral-Nemo-Base-2407 as a base. ### Models Merged The following models were included in the merge: * C:\Users\lg911\Downloads\Mergekit-Fixed\mergekit\Sao10K_MN-12B-Lyra-v4 * C:\Users\lg911\Downloads\Mergekit-Fixed\mergekit\Gryphe_Pantheon-RP-1.5-12b-Nemo * C:\Users\lg911\Downloads\Mergekit-Fixed\mergekit\nothingiisreal_MN-12B-Starcannon-v2 ### Configuration The following YAML configuration was used to produce this model: ```yaml models: - model: C:\Users\\Downloads\Mergekit-Fixed\mergekit\Sao10K_MN-12B-Lyra-v4 parameters: weight: 0.3 density: 0.25 - model: C:\Users\\Downloads\Mergekit-Fixed\mergekit\nothingiisreal_MN-12B-Starcannon-v2 parameters: weight: 0.1 density: 0.4 - model: C:\Users\\Downloads\Mergekit-Fixed\mergekit\Gryphe_Pantheon-RP-1.5-12b-Nemo parameters: weight: 0.4 density: 0.5 merge_method: della_linear base_model: C:\Users\\Downloads\Mergekit-Fixed\mergekit\mistralai_Mistral-Nemo-Base-2407 parameters: epsilon: 0.05 lambda: 1 merge_method: della_linear dtype: bfloat16 ```