--- base_model: - DavidAU/MN-Dark-Planet-TITAN-12B - Vikhrmodels/Vikhr-Nemo-12B-Instruct-R-21-09-24 - elinas/Chronos-Gold-12B-1.0 - TheDrummer/Rocinante-12B-v1 - win10/Mistral-Nemo-abliterated-Nemo-Pro-v2 - Gryphe/Pantheon-RP-1.5-12b-Nemo - nothingiisreal/MN-12B-Celeste-V1.9 library_name: transformers tags: - mergekit - merge --- # merge 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 merge method using [win10/Mistral-Nemo-abliterated-Nemo-Pro-v2](https://huggingface.co/win10/Mistral-Nemo-abliterated-Nemo-Pro-v2) as a base. ### Models Merged The following models were included in the merge: * [DavidAU/MN-Dark-Planet-TITAN-12B](https://huggingface.co/DavidAU/MN-Dark-Planet-TITAN-12B) * [Vikhrmodels/Vikhr-Nemo-12B-Instruct-R-21-09-24](https://huggingface.co/Vikhrmodels/Vikhr-Nemo-12B-Instruct-R-21-09-24) * [elinas/Chronos-Gold-12B-1.0](https://huggingface.co/elinas/Chronos-Gold-12B-1.0) * [TheDrummer/Rocinante-12B-v1](https://huggingface.co/TheDrummer/Rocinante-12B-v1) * [Gryphe/Pantheon-RP-1.5-12b-Nemo](https://huggingface.co/Gryphe/Pantheon-RP-1.5-12b-Nemo) * [nothingiisreal/MN-12B-Celeste-V1.9](https://huggingface.co/nothingiisreal/MN-12B-Celeste-V1.9) ### Configuration The following YAML configuration was used to produce this model: ```yaml models: - model: win10/Mistral-Nemo-abliterated-Nemo-Pro-v2 parameters: density: 0.11 weight: 0.1 - model: DavidAU/MN-Dark-Planet-TITAN-12B parameters: density: 0.8 weight: 1.0 - model: nothingiisreal/MN-12B-Celeste-V1.9 parameters: density: 0.8 weight: 1.0 - model: elinas/Chronos-Gold-12B-1.0 parameters: density: 0.8 weight: 1.0 - model: TheDrummer/Rocinante-12B-v1 parameters: density: 0.8 weight: 1.0 - model: Gryphe/Pantheon-RP-1.5-12b-Nemo parameters: density: 0.8 weight: 1.0 - model: Vikhrmodels/Vikhr-Nemo-12B-Instruct-R-21-09-24 parameters: density: 0.8 weight: 1.0 merge_method: della base_model: win10/Mistral-Nemo-abliterated-Nemo-Pro-v2 parameters: epsilon: 0.10 lambda: 1.00 int8_mask: true dtype: float16 ```