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--- |
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base_model: |
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- failspy/Meta-Llama-3-8B-Instruct-abliterated-v3 |
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- DeepMount00/Llama-3-8b-Ita |
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- meta-llama/Meta-Llama-3-8B-Instruct |
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- nbeerbower/llama-3-gutenberg-8B |
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- jpacifico/French-Alpaca-Llama3-8B-Instruct-v1.0 |
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- VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct |
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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: apache-2.0 |
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--- |
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# dare_linear |
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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 linear [DARE](https://arxiv.org/abs/2311.03099) merge method using [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) 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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* [failspy/Meta-Llama-3-8B-Instruct-abliterated-v3](https://huggingface.co/failspy/Meta-Llama-3-8B-Instruct-abliterated-v3) |
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* [DeepMount00/Llama-3-8b-Ita](https://huggingface.co/DeepMount00/Llama-3-8b-Ita) |
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* [nbeerbower/llama-3-gutenberg-8B](https://huggingface.co/nbeerbower/llama-3-gutenberg-8B) |
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* [jpacifico/French-Alpaca-Llama3-8B-Instruct-v1.0](https://huggingface.co/jpacifico/French-Alpaca-Llama3-8B-Instruct-v1.0) |
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* [VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct](https://huggingface.co/VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct) |
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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: meta-llama/Meta-Llama-3-8B-Instruct |
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parameters: |
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density: 0.5 |
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weight: 1.0 |
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- model: failspy/Meta-Llama-3-8B-Instruct-abliterated-v3 |
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parameters: |
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density: 0.5 |
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weight: 1.0 |
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- model: VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct |
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parameters: |
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density: 0.5 |
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weight: 1.0 |
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- model: DeepMount00/Llama-3-8b-Ita |
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parameters: |
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density: 0.5 |
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weight: 1.0 |
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- model: nbeerbower/llama-3-gutenberg-8B |
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parameters: |
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density: 0.5 |
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weight: 1.0 |
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- model: jpacifico/French-Alpaca-Llama3-8B-Instruct-v1.0 |
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parameters: |
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density: 0.5 |
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weight: 1.0 |
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merge_method: dare_linear |
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tokenizer_source: union |
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base_model: meta-llama/Meta-Llama-3-8B-Instruct |
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parameters: |
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int8_mask: true |
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dtype: bfloat16 |
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``` |
