---
base_model:
- johnsnowlabs/JSL-MedLlama-3-8B-v15
- ProbeMedicalYonseiMAILab/medllama3-v20
- meta-llama/Meta-Llama-3-8B-Instruct
library_name: transformers
tags:
- mergekit
- merge

---
# 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 [DARE](https://arxiv.org/abs/2311.03099) [TIES](https://arxiv.org/abs/2306.01708) merge method using [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) as a base.

### Models Merged

The following models were included in the merge:
* [johnsnowlabs/JSL-MedLlama-3-8B-v15](https://huggingface.co/johnsnowlabs/JSL-MedLlama-3-8B-v15)
* [ProbeMedicalYonseiMAILab/medllama3-v20](https://huggingface.co/ProbeMedicalYonseiMAILab/medllama3-v20)

### Configuration

The following YAML configuration was used to produce this model:

```yaml

models:
  - model: meta-llama/Meta-Llama-3-8B-Instruct
    # No parameters necessary for base model
  - model: johnsnowlabs/JSL-MedLlama-3-8B-v15
    parameters:
      density: 0.5
      weight: 0.5
  - model: ProbeMedicalYonseiMAILab/medllama3-v20
    parameters:
      density: 0.5
      weight: 0.5
merge_method: dare_ties
base_model: meta-llama/Meta-Llama-3-8B-Instruct
dtype: bfloat16


```