| base_model: [] | |
| library_name: transformers | |
| tags: | |
| - mergekit | |
| - merge | |
| # Model | |
| This is a merge model of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). | |
| ## Model Details | |
| ### Prompt template: Alpaca | |
| ``` | |
| Below is an instruction that describes a task. Write a response that appropriately completes the request. | |
| ### Instruction: | |
| {prompt} | |
| ### Response: | |
| ``` | |
| ## Merge Details | |
| ### Merge Method | |
| This model was merged using the SLERP merge method. | |
| ### Models Merged | |
| The following models were included in the merge: | |
| * Undi95/Mistral-RP-0.1-7B | |
| * MaziyarPanahi/NSFW_DPO_Noromaid-7b-Mistral-7B-Instruct-v0.1 | |
| ### Configuration | |
| The following YAML configuration was used to produce this model: | |
| ```yaml | |
| slices: | |
| - sources: | |
| - model: Undi95/Mistral-RP-0.1-7B | |
| layer_range: [0, 32] | |
| - model: MaziyarPanahi/NSFW_DPO_Noromaid-7b-Mistral-7B-Instruct-v0.1 | |
| layer_range: [0, 32] | |
| merge_method: slerp | |
| base_model: Undi95/Mistral-RP-0.1-7B | |
| parameters: | |
| t: | |
| - filter: self_attn | |
| value: [0, 0.5, 0.3, 0.7, 1] | |
| - filter: mlp | |
| value: [1, 0.5, 0.7, 0.3, 0] | |
| - value: 0.5 # fallback for rest of tensors | |
| dtype: bfloat16 | |
| ``` | |