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README.md
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---
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base_model: []
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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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---
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# model
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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 breadcrumbs_ties merge method using
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### Models Merged
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The following models were included in the merge:
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*
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*
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*
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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:
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parameters:
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weight: 0.40
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density: 0.90
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gamma: 0.01
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- model:
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parameters:
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weight: 0.20
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density: 0.90
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gamma: 0.01
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- model:
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parameters:
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weight: 0.40
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density: 0.90
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gamma: 0.01
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- model:
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parameters:
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weight: 0.20
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density: 0.90
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gamma: 0.01
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merge_method: breadcrumbs_ties
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base_model:
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dtype: bfloat16
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```
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---
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base_model: []
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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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---
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# model
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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 breadcrumbs_ties merge method using \Llama-3-70B-Instruct-Gradient-262k 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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* \Llama-3-Lumimaid-70B-v0.1-OAS
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* \Smaug-Llama-3-70B-Instruct
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* \Llama-3-70B-Instruct-abliterated-v3
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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: \Llama-3-70B-Instruct-Gradient-262k
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parameters:
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weight: 0.40
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density: 0.90
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gamma: 0.01
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- model: \Llama-3-70B-Instruct-abliterated-v3
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parameters:
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weight: 0.20
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density: 0.90
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gamma: 0.01
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- model: \Smaug-Llama-3-70B-Instruct
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parameters:
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weight: 0.40
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density: 0.90
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gamma: 0.01
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- model: \Llama-3-Lumimaid-70B-v0.1-OAS
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parameters:
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weight: 0.20
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density: 0.90
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gamma: 0.01
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merge_method: breadcrumbs_ties
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base_model: \Llama-3-70B-Instruct-Gradient-262k
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dtype: bfloat16
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```
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