---
base_model:
- lucyknada/microsoft_WizardLM-2-7B
- HuggingFaceH4/zephyr-7b-beta
library_name: transformers
tags:
- mergekit
- merge
license: apache-2.0
pipeline_tag: text-generation
---
# zephyr-beta-wizardLM-2-merge-7B

This is a merge of two pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). The goal was to explore the impact of merging on reasoning and narrative generation. Given that both fine-tuned models are BF16 precision (despite the precision of the base model Mistral 7B v0.1 being FP16), this avoids issues with mixed precision during merging.

## Merge Details
### Merge Method

This model was merged using the SLERP merge method.

### Models Merged

The following models were included in the merge:
* [lucyknada/microsoft_WizardLM-2-7B](https://huggingface.co/lucyknada/microsoft_WizardLM-2-7B)
* [HuggingFaceH4/zephyr-7b-beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
slices:
  - sources:
    - model: HuggingFaceH4/zephyr-7b-beta
      layer_range: [0,32]
    - model: lucyknada/microsoft_WizardLM-2-7B
      layer_range: [0,32]
merge_method: slerp
base_model: HuggingFaceH4/zephyr-7b-beta
parameters:
  t:
    - value: 0.5
dtype: bfloat16

```