50 lines
1.1 KiB
Markdown
50 lines
1.1 KiB
Markdown
---
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base_model:
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- shahzebnaveed/NeuralHermes-2.5-Mistral-7B
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- berkeley-nest/Starling-LM-7B-alpha
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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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# 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 SLERP merge method.
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### Models Merged
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The following models were included in the merge:
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* [shahzebnaveed/NeuralHermes-2.5-Mistral-7B](https://huggingface.co/shahzebnaveed/NeuralHermes-2.5-Mistral-7B)
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* [berkeley-nest/Starling-LM-7B-alpha](https://huggingface.co/berkeley-nest/Starling-LM-7B-alpha)
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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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slices:
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- sources:
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- model: berkeley-nest/Starling-LM-7B-alpha
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layer_range: [0, 32]
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- model: shahzebnaveed/NeuralHermes-2.5-Mistral-7B
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layer_range: [0, 32]
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merge_method: slerp
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base_model: berkeley-nest/Starling-LM-7B-alpha
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parameters:
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t:
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- filter: self_attn
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value: [0, 0.5, 0.3, 0.7, 1]
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- filter: mlp
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value: [1, 0.5, 0.7, 0.3, 0]
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- value: 0.5
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dtype: bfloat16
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``` |