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---
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language:
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- en
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base_model:
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- meta-llama/Meta-Llama-3-8B-Instruct
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- ChaoticNeutrals/Poppy_Porpoise-0.72-L3-8B
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library_name: transformers
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tags:
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- meta
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- llama-3
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- pytorch
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- mergekit
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- merge
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license:
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* [
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```
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---
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language:
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- en
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base_model:
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- meta-llama/Meta-Llama-3-8B-Instruct
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- ChaoticNeutrals/Poppy_Porpoise-0.72-L3-8B
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library_name: transformers
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tags:
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- meta
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- llama-3
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- pytorch
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- mergekit
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- merge
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license: cc-by-nc-4.0
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pipeline_tag: text-generation
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---
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# llama-3-merge-pp-instruct-8B
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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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Lightly tested at temperature=1.0, minP=0.02 with provisional Llama 3 Instruct prompts.
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Built with Meta Llama 3.
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## Merge Details
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### Merge Method
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This model was merged using the SLERP merge method.
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### Models Merged
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The following models were included in the merge:
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* [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct)
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* [ChaoticNeutrals/Poppy_Porpoise-0.72-L3-8B](https://huggingface.co/ChaoticNeutrals/Poppy_Porpoise-0.72-L3-8B)
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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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slices:
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- sources:
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- model: ChaoticNeutrals/Poppy_Porpoise-0.72-L3-8B
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layer_range: [0,32]
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- model: meta-llama/Meta-Llama-3-8B-Instruct
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layer_range: [0,32]
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merge_method: slerp
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base_model: ChaoticNeutrals/Poppy_Porpoise-0.72-L3-8B
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parameters:
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t:
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- value: 0.5
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dtype: bfloat16
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```
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