---
base_model:
- NeverSleep/Llama-3-Lumimaid-8B-v0.1-OAS
- ProbeMedicalYonseiMAILab/medllama3-v20
- sethuiyer/Medichat-V2-Llama3-8B
- NousResearch/Meta-Llama-3-8B
- ruslandev/llama-3-8b-samantha
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 [NousResearch/Meta-Llama-3-8B](https://huggingface.co/NousResearch/Meta-Llama-3-8B) as a base.

### Models Merged

The following models were included in the merge:
* [NeverSleep/Llama-3-Lumimaid-8B-v0.1-OAS](https://huggingface.co/NeverSleep/Llama-3-Lumimaid-8B-v0.1-OAS)
* [ProbeMedicalYonseiMAILab/medllama3-v20](https://huggingface.co/ProbeMedicalYonseiMAILab/medllama3-v20)
* [sethuiyer/Medichat-V2-Llama3-8B](https://huggingface.co/sethuiyer/Medichat-V2-Llama3-8B)
* [ruslandev/llama-3-8b-samantha](https://huggingface.co/ruslandev/llama-3-8b-samantha)

### Configuration

The following YAML configuration was used to produce this model:

```yaml

models:
  - model: NousResearch/Meta-Llama-3-8B
    # No parameters necessary for base model
  - model: ruslandev/llama-3-8b-samantha
    parameters:
      density: [0.25, 0.35, 0.45, 0.35, 0.25]
      weight: [0.1, 0.25, 0.5, 0.25, 0.1]
  - model: ProbeMedicalYonseiMAILab/medllama3-v20
    parameters:
      density: [0.55, 0.45, 0.35, 0.45, 0.55]
      weight: [0.3, 0.35, 0.5, 0.35, 0.3]
  - model: sethuiyer/Medichat-V2-Llama3-8B
    parameters:
      density: [0.55, 0.45, 0.35, 0.45, 0.55]
      weight: [0.2, 0.25, 0.5, 0.25, 0.2]
  - model: NeverSleep/Llama-3-Lumimaid-8B-v0.1-OAS
    parameters:
      density: [0.25, 0.35, 0.45, 0.35, 0.25]
      weight: [0.1, 0.25, 0.5, 0.25, 0.1]
merge_method: dare_ties
base_model: NousResearch/Meta-Llama-3-8B
dtype: bfloat16


```