---
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
```