58 lines
1.5 KiB
Markdown
58 lines
1.5 KiB
Markdown
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---
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pipeline_tag: text-generation
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base_model:
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- mistralai/Mistral-7B-v0.1
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- WizardLM/WizardMath-7B-V1.1
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- akjindal53244/Mistral-7B-v0.1-Open-Platypus
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- Open-Orca/Mistral-7B-OpenOrca
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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: cc-by-4.0
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---
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# Moko-SR-7b-ex
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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 rescaled_sample merge method using [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) 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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* [Open-Orca/Mistral-7B-OpenOrca](https://huggingface.co/Open-Orca/Mistral-7B-OpenOrca)
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* [WizardLM/WizardMath-7B-V1.1](https://huggingface.co/WizardLM/WizardMath-7B-V1.1)
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* [akjindal53244/Mistral-7B-v0.1-Open-Platypus](https://huggingface.co/akjindal53244/Mistral-7B-v0.1-Open-Platypus)
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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: Open-Orca/Mistral-7B-OpenOrca
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parameters:
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density: [1, 0.7, 0.1] # density gradient
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weight: 1.0
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- model: akjindal53244/Mistral-7B-v0.1-Open-Platypus
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parameters:
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density: 0.5
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weight: [0, 0.3, 0.7, 1] # weight gradient
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- model: WizardLM/WizardMath-7B-V1.1
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parameters:
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density: 0.33
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weight:
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- filter: mlp
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value: 0.5
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- value: 0
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merge_method: rescaled_sample
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base_model: mistralai/Mistral-7B-v0.1
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parameters:
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int8_mask: true
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dtype: float16
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```
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