| base_model: [] | |
| tags: | |
| - mergekit | |
| - merge | |
| Quantized using 200 samples of 8192 tokens from an RP-oriented [PIPPA](https://huggingface.co/datasets/royallab/PIPPA-cleaned) dataset. | |
| Requires ExllamaV2 version 0.0.11 and up. | |
| Original model link: [Doctor-Shotgun/Mixtral-8x7B-Instruct-v0.1-LimaRP-ZLoss-DARE-TIES](https://huggingface.co/Doctor-Shotgun/Mixtral-8x7B-Instruct-v0.1-LimaRP-ZLoss-DARE-TIES) | |
| Original model README below. | |
| *** | |
| # Mixtral-8x7B-Instruct-v0.1-LimaRP-ZLoss-DARE-TIES | |
| 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 [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using ./extra_hdd/Mixtral-8x7B-v0.1 as a base. | |
| ### Models Merged | |
| The following models were included in the merge: | |
| * ./extra_hdd2/Mixtral-8x7B-Instruct-v0.1 | |
| * ./extra_hdd/Mixtral-8x7B-v0.1-LimaRP-ZLoss | |
| ### Configuration | |
| The following YAML configuration was used to produce this model: | |
| ```yaml | |
| models: | |
| - model: ./extra_hdd2/Mixtral-8x7B-Instruct-v0.1 | |
| parameters: | |
| density: 0.5 | |
| weight: 1.0 | |
| - model: ./extra_hdd/Mixtral-8x7B-v0.1-LimaRP-ZLoss | |
| parameters: | |
| density: 0.5 | |
| weight: 0.5 | |
| merge_method: dare_ties | |
| base_model: ./extra_hdd/Mixtral-8x7B-v0.1 | |
| parameters: | |
| #normalize: false | |
| #int8_mask: true | |
| dtype: bfloat16 | |
| ``` | |