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Model: Gweizheng/Marcoro14-7B-dare Source: Original Platform
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README.md
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README.md
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---
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license: apache-2.0
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tags:
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- merge
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- mergekit
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- lazymergekit
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- samir-fama/SamirGPT-v1
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- abacusai/Slerp-CM-mist-dpo
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- EmbeddedLLM/Mistral-7B-Merge-14-v0.2
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---
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# Marcoro14-7B-dare
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Marcoro14-7B-dare is a merge of the following models using [mergekit](https://github.com/cg123/mergekit):
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* [samir-fama/SamirGPT-v1](https://huggingface.co/samir-fama/SamirGPT-v1)
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* [abacusai/Slerp-CM-mist-dpo](https://huggingface.co/abacusai/Slerp-CM-mist-dpo)
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* [EmbeddedLLM/Mistral-7B-Merge-14-v0.2](https://huggingface.co/EmbeddedLLM/Mistral-7B-Merge-14-v0.2)
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## 🧩 Configuration
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\```yaml
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models:
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- model: mistralai/Mistral-7B-v0.1
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# No parameters necessary for base model
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- model: samir-fama/SamirGPT-v1
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parameters:
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density: 0.53
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weight: 0.4
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- model: abacusai/Slerp-CM-mist-dpo
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parameters:
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density: 0.53
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weight: 0.3
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- model: EmbeddedLLM/Mistral-7B-Merge-14-v0.2
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parameters:
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density: 0.53
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weight: 0.3
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merge_method: dare_ties
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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: bfloat16
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\```
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