twosmoothslateslabs
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README.md
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base_model:
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- EVA-UNIT-01/EVA-Qwen2.5-7B-v0.1
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- allura-org/Teleut-7b
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- FourOhFour/Vapor_v2_7B
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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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parameters:
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---
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base_model:
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- EVA-UNIT-01/EVA-Qwen2.5-7B-v0.1
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- allura-org/Teleut-7b
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- FourOhFour/Vapor_v2_7B
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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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![](https://huggingface.co/twosmoothslateslabs/Nemesia-Qwen-2.5-v1.0/blob/main/Nemesia.jpg)
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Merge using the brand new NuSLERP method. Fresh out of the oven. Performance not guaranteed.
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Uses the slightly-unstable EVA and two other finetunes I found. I also turned on both the NuSLERP exclusive mergekit options for fun.
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# mergekit
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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 NuSLERP merge method using [EVA-UNIT-01/EVA-Qwen2.5-7B-v0.1](https://huggingface.co/EVA-UNIT-01/EVA-Qwen2.5-7B-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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* [allura-org/Teleut-7b](https://huggingface.co/allura-org/Teleut-7b)
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* [FourOhFour/Vapor_v2_7B](https://huggingface.co/FourOhFour/Vapor_v2_7B)
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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: allura-org/Teleut-7b
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parameters:
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weight: 0.6
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- model: FourOhFour/Vapor_v2_7B
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parameters:
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weight: 0.2
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- model: EVA-UNIT-01/EVA-Qwen2.5-7B-v0.1
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parameters:
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weight: 1.0
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merge_method: nuslerp
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base_model: EVA-UNIT-01/EVA-Qwen2.5-7B-v0.1
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parameters:
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normalize: true
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int8_mask: true
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nuslerp_flatten: false
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nuslerp_row_wise: true
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dtype: float16
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```
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