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---
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base_model:
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- unsloth/Meta-Llama-3.1-8B-Instruct
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- NCSOFT/Llama-VARCO-8B-Instruct
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- Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2
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- akjindal53244/Llama-3.1-Storm-8B
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- arcee-ai/Llama-3.1-SuperNova-Lite
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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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# Untitled Model (1)
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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 [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [unsloth/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/unsloth/Meta-Llama-3.1-8B-Instruct) 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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* [NCSOFT/Llama-VARCO-8B-Instruct](https://huggingface.co/NCSOFT/Llama-VARCO-8B-Instruct)
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* [Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2](https://huggingface.co/Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2)
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* [akjindal53244/Llama-3.1-Storm-8B](https://huggingface.co/akjindal53244/Llama-3.1-Storm-8B)
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* [arcee-ai/Llama-3.1-SuperNova-Lite](https://huggingface.co/arcee-ai/Llama-3.1-SuperNova-Lite)
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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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base_model: unsloth/Meta-Llama-3.1-8B-Instruct
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dtype: bfloat16
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merge_method: dare_ties
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slices:
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- sources:
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- layer_range: [0, 32]
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model: akjindal53244/Llama-3.1-Storm-8B
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parameters:
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density: 0.8
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weight: 0.13
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- layer_range: [0, 32]
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model: arcee-ai/Llama-3.1-SuperNova-Lite
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parameters:
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density: 1.0
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weight: 0.37
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- layer_range: [0, 32]
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model: Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2
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parameters:
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density: 1.0
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weight: 0.13
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- layer_range: [0, 32]
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model: NCSOFT/Llama-VARCO-8B-Instruct
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parameters:
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density: 0.8
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weight: 0.37
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- layer_range: [0, 32]
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model: unsloth/Meta-Llama-3.1-8B-Instruct
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tokenizer_source: base
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```
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