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--- |
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base_model: |
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- PocketDoc/Dans-PersonalityEngine-V1.1.0-12b |
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- LatitudeGames/Wayfarer-12B |
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- mistralai/Mistral-Nemo-Base-2407 |
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- Vikhrmodels/Vikhr-Nemo-12B-Instruct-R-21-09-24 |
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- bamec66557/MISCHIEVOUS-12B-Mix_0.6v |
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- aixonlab/Grey-12b |
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library_name: transformers |
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tags: |
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- mergekit |
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- merge |
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license: apache-2.0 |
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--- |
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# nemoties |
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). |
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## Merge Details |
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### Merge Method |
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This model was merged using the [TIES](https://arxiv.org/abs/2306.01708) merge method using [mistralai/Mistral-Nemo-Base-2407](https://huggingface.co./mistralai/Mistral-Nemo-Base-2407) as a base. |
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### Models Merged |
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The following models were included in the merge: |
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* [PocketDoc/Dans-PersonalityEngine-V1.1.0-12b](https://huggingface.co./PocketDoc/Dans-PersonalityEngine-V1.1.0-12b) |
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* [LatitudeGames/Wayfarer-12B](https://huggingface.co./LatitudeGames/Wayfarer-12B) |
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* [Vikhrmodels/Vikhr-Nemo-12B-Instruct-R-21-09-24](https://huggingface.co./Vikhrmodels/Vikhr-Nemo-12B-Instruct-R-21-09-24) |
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* [bamec66557/MISCHIEVOUS-12B-Mix_0.6v](https://huggingface.co./bamec66557/MISCHIEVOUS-12B-Mix_0.6v) |
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* [aixonlab/Grey-12b](https://huggingface.co./aixonlab/Grey-12b) |
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### Configuration |
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The following YAML configuration was used to produce this model: |
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```yaml |
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models: |
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- model: PocketDoc/Dans-PersonalityEngine-V1.1.0-12b #ifeval, musr; weak in math, gpqa |
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parameters: |
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density: [0.1, 0.25, 1.0, 0.5, 1.0] |
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weight: 1.0 |
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- model: LatitudeGames/Wayfarer-12B #personality, bias, sentiment; unknown weaknesses |
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parameters: |
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density: [1.0, 0.5, 0.01] |
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weight: [1.0, 0.5] |
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- model: aixonlab/Grey-12b #bbh, mmlu; weak in ifeval, gpqa |
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parameters: |
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density: [0.75, 1.0, 0.6, 0.25, 0.01] |
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weight: [1.0, 0.5] |
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- model: Vikhrmodels/Vikhr-Nemo-12B-Instruct-R-21-09-24 #MATH; weak in musr, gpqa |
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parameters: |
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density: [0.1, 0.1, 0.25, 1.0, 0.01] |
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weight: 1.0 |
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- model: bamec66557/MISCHIEVOUS-12B-Mix_0.6v #ok GPQA and other reasoning; mediocre ifeval |
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parameters: |
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density: [0.1, 0.5, 1.0, 0.5, 0.01] |
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weight: 1.0 |
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merge_method: ties |
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base_model: mistralai/Mistral-Nemo-Base-2407 |
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tokenizer_source: PocketDoc/Dans-PersonalityEngine-V1.1.0-12b |
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parameters: |
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normalize: true |
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int8_mask: true |
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dtype: float16 |
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``` |
