--- base_model: [] library_name: transformers tags: - mergekit - merge --- # Stellar Odyssey 12b v0.0 *Join my dream, it's just the right time, whoa... Leave it all behind... Get ready now... Riise up into my world~* Listen to the song on youtube: https://www.youtube.com/watch?v=npyiiInMA0w 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 TO CLEAR SOME CONFUSION: Please use ChatML ~~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. Thank you to AuriAetherwiing for helping me merge the models. 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 ```