| base_model: | |
| - baconnier/Napoleon_24B_V0.0 | |
| - cognitivecomputations/Dolphin3.0-Mistral-24B | |
| 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 [SLERP](https://en.wikipedia.org/wiki/Slerp) merge method. | |
| ### Models Merged | |
| The following models were included in the merge: | |
| * [baconnier/Napoleon_24B_V0.0](https://huggingface.co/baconnier/Napoleon_24B_V0.0) | |
| * [cognitivecomputations/Dolphin3.0-Mistral-24B](https://huggingface.co/cognitivecomputations/Dolphin3.0-Mistral-24B) | |
| ### Configuration | |
| The following YAML configuration was used to produce this model: | |
| ```yaml | |
| slices: | |
| - sources: | |
| - model: cognitivecomputations/Dolphin3.0-Mistral-24B | |
| layer_range: [0, 39] # 40 layers (0-39) | |
| - model: baconnier/Napoleon_24B_V0.0 | |
| layer_range: [0, 39] | |
| merge_method: slerp | |
| base_model: cognitivecomputations/Dolphin3.0-Mistral-24B # Use one of the source models | |
| parameters: | |
| t: | |
| - filter: self_attn | |
| value: 0.5 | |
| - filter: mlp | |
| value: 0.5 | |
| - value: 0.5 | |
| dtype: float16 # Changed to float16 for wider compatibility | |
| tokenizer_source: baconnier/Napoleon_24B_V0.0 # Use Napoleon's tokenizer | |
| ``` | |