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---
base_model:
- NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story
- NeuralNovel/Gecko-7B-v0.1-DPO
tags:
- mergekit
- merge
license: apache-2.0
datasets:
- Intel/orca_dpo_pairs
- NeuralNovel/Neural-Story-v1
---
# Tiger-7b-v0.1
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
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## Metrics
### Merge Method
This model was merged using the SLERP merge method.
### Models Merged
The following models were included in the merge:
* [NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story](https://huggingface.co/NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story)
* [NeuralNovel/Gecko-7B-v0.1-DPO](https://huggingface.co/NeuralNovel/Gecko-7B-v0.1-DPO)
# merge
### Configuration
The following YAML configuration was used to produce this model:
```yaml
slices:
- sources:
- model: NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story
layer_range: [0, 32]
- model: NeuralNovel/Gecko-7B-v0.1-DPO
layer_range: [0, 32]
merge_method: slerp
base_model: NeuralNovel/Mistral-7B-Instruct-v0.2-Neural-Story
parameters:
t:
- filter: self_attn
value: [0, 0.5, 0.3, 0.7, 1]
- filter: mlp
value: [1, 0.5, 0.7, 0.3, 0]
- value: 0.5
dtype: bfloat16
```
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