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--- |
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license: apache-2.0 |
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language: |
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- en |
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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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- codellama/CodeLlama-7b-Instruct-hf |
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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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# ultra_llm_merged |
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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 [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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### Models Merged |
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The following models were included in the merge: |
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* [WizardLM/WizardMath-7B-V1.1](https://huggingface.co/WizardLM/WizardMath-7B-V1.1) |
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* [codellama/CodeLlama-7b-Instruct-hf](https://huggingface.co/codellama/CodeLlama-7b-Instruct-hf) |
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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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base_model: mistralai/Mistral-7B-v0.1 |
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dtype: float16 |
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merge_method: ties |
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parameters: |
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int8_mask: 1.0 |
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normalize: 1.0 |
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slices: |
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- sources: |
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- layer_range: [0, 32] |
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model: mistralai/Mistral-7B-v0.1 |
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- layer_range: [0, 32] |
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model: WizardLM/WizardMath-7B-V1.1 |
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parameters: |
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density: 0.5 |
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weight: |
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- filter: mlp |
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value: 0.5 |
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- value: 0.0 |
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- layer_range: [0, 32] |
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model: codellama/CodeLlama-7b-Instruct-hf |
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parameters: |
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density: 0.5 |
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weight: 0.5 |
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``` |
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