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---
base_model:
- mistralai/Mistral-7B-v0.1
- mistralai/Mistral-7B-Instruct-v0.2
- Nondzu/Mistral-7B-codealpaca-lora
- TIGER-Lab/MAmmoTH2-7B
library_name: transformers
tags:
- mergekit
- merge
---
# dare
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
## Merge Details
### Merge Method
This model was merged using the [Linear DARE](https://arxiv.org/abs/2311.03099) merge method using [mistralai/Mistral-7B-v0.1](https://huggingface.co/mistralai/Mistral-7B-v0.1) as a base.
### Models Merged
The following models were included in the merge:
* [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2)
* [Nondzu/Mistral-7B-codealpaca-lora](https://huggingface.co/Nondzu/Mistral-7B-codealpaca-lora)
* [TIGER-Lab/MAmmoTH2-7B](https://huggingface.co/TIGER-Lab/MAmmoTH2-7B)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
# DARE + Average Merging
# random seed: 42
# Each parameter refers to DARE [https://arxiv.org/abs/2311.03099]
base_model: mistralai/Mistral-7B-v0.1
models:
- model: mistralai/Mistral-7B-Instruct-v0.2
parameters:
density: 0.2
weight: 1.0
- model: TIGER-Lab/MAmmoTH2-7B
parameters:
density: 0.2
weight: 1.0
- model: Nondzu/Mistral-7B-codealpaca-lora
parameters:
density: 0.2
weight: 1.0
merge_method: dare_linear
parameters:
normalize: true
lambda: 1.0
rescale: true
dtype: float16
tokenizer:
source: union
```