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---
base_model:
- mistralai/Mistral-7B-v0.1
- PrunaAI/WizardLM-WizardMath-7B-V1.0-bnb-4bit-smashed
- codellama/CodeLlama-7b-Instruct-hf
library_name: transformers
tags:
- mergekit
- merge
---
# output_folder merge
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 [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.
### Models Merged
The following models were included in the merge:
* [PrunaAI/WizardLM-WizardMath-7B-V1.0-bnb-4bit-smashed](https://huggingface.co/PrunaAI/WizardLM-WizardMath-7B-V1.0-bnb-4bit-smashed)
* [codellama/CodeLlama-7b-Instruct-hf](https://huggingface.co/codellama/CodeLlama-7b-Instruct-hf)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
models:
- model: mistralai/Mistral-7B-v0.1 # no parameters necessary for base model
- model: PrunaAI/WizardLM-WizardMath-7B-V1.0-bnb-4bit-smashed
parameters:
density: 0.5 # fraction of weights in differences from the base model to retain
weight: # weight gradient
- filter: mlp
value: 0.5
- value: 0
- model: codellama/CodeLlama-7b-Instruct-hf
parameters:
density: 0.5
weight: 0.5
merge_method: ties
base_model: mistralai/Mistral-7B-v0.1
parameters:
normalize: true
int8_mask: true
dtype: float16
```
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