55 lines
1.4 KiB
Markdown
55 lines
1.4 KiB
Markdown
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---
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license: apache-2.0
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base_model:
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- mistralai/Mistral-7B-v0.1
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- OpenBuddy/openbuddy-mistral-7b-v13.1
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- MRAIRR/hubsalmon_tra
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- EmbeddedLLM/Mistral-7B-Merge-14-v0.3
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tags:
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- mergekit
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- merge
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---
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# merge
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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 [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) as a base.
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### mini_7B_dare_v1
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The following models were included in the merge:
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* [OpenBuddy/openbuddy-mistral-7b-v13.1](https://huggingface.co/OpenBuddy/openbuddy-mistral-7b-v13.1)
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* [MRAIRR/hubsalmon_tra](https://huggingface.co/MRAIRR/hubsalmon_tra)
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* [EmbeddedLLM/Mistral-7B-Merge-14-v0.3](https://huggingface.co/EmbeddedLLM/Mistral-7B-Merge-14-v0.3)
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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: mistralai/Mistral-7B-v0.1
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- model: OpenBuddy/openbuddy-mistral-7b-v13.1
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parameters:
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density: 0.53
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weight: 0.4
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- model: MRAIRR/hubsalmon_tra
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parameters:
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density: 0.53
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weight: 0.4
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- model: EmbeddedLLM/Mistral-7B-Merge-14-v0.3
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parameters:
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density: 0.53
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weight: 0.4
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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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