---
base_model:
- LeroyDyer/Mixtral_AI_MediTron
- LeroyDyer/Mixtral_AI_CyberTron
library_name: transformers
tags:
- mergekit
- merge
- code
- biology
- chemistry
- medical
- not-for-all-audiences
- text-generation-inference
- legal
- finance
datasets:
- medalpaca/medical_meadow_pubmed_causal
- ruslanmv/ai-medical-chatbot
- medalpaca/medical_meadow_mediqa
license: mit
---

not the highest of the collection but (secretly the leader as all loras will be pplied to this model; etc as i work its this model will be improved towards growing the other mdoels of which may skew!)


# 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 SLERP merge method.

### Models Merged

The following models were included in the merge:
* [LeroyDyer/Mixtral_AI_MediTron](https://huggingface.co/LeroyDyer/Mixtral_AI_MediTron)
* [LeroyDyer/Mixtral_AI_CyberTron](https://huggingface.co/LeroyDyer/Mixtral_AI_CyberTron)

### Configuration

The following YAML configuration was used to produce this model:

```yaml

  slices:
    - sources:
        - model: LeroyDyer/Mixtral_AI_MediTron
          layer_range: [0, 32]
        - model: LeroyDyer/Mixtral_AI_CyberTron
          layer_range: [0, 32]
  merge_method: slerp
  base_model: LeroyDyer/Mixtral_AI_CyberTron
  parameters:
    t:
      - filter: self_attn
        value: [0, 0.5, 0.3, 0.7, 1]
      - filter: mlp
        value: [1, 0.5, 0.7, 0.3, 0]
      - value: 0.5
  dtype: bfloat16

```