---
base_model:
- teknium/OpenHermes-2.5-Mistral-7B
- nlpguy/Hermes-low-tune-2
- charlesdedampierre/TopicNeuralHermes-2.5-Mistral-7B
- openaccess-ai-collective/openhermes-2_5-dpo-no-robots
- flemmingmiguel/Mistrality-7B
- beowolx/MistralHermes-CodePro-7B-v1
tags:
- mergekit
- merge
license_name: apache-2.0-mit-dual-license
license_link: https://huggingface.co/nlpguy/Hermes-low-tune-3.1/raw/main/LICENSE
---
# merged

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 [task arithmetic](https://arxiv.org/abs/2212.04089) merge method using [teknium/OpenHermes-2.5-Mistral-7B](https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B) as a base.

### Models Merged

The following models were included in the merge:
* [nlpguy/Hermes-low-tune-2](https://huggingface.co/nlpguy/Hermes-low-tune-2)
* [charlesdedampierre/TopicNeuralHermes-2.5-Mistral-7B](https://huggingface.co/charlesdedampierre/TopicNeuralHermes-2.5-Mistral-7B)
* [openaccess-ai-collective/openhermes-2_5-dpo-no-robots](https://huggingface.co/openaccess-ai-collective/openhermes-2_5-dpo-no-robots)
* [flemmingmiguel/Mistrality-7B](https://huggingface.co/flemmingmiguel/Mistrality-7B)
* [beowolx/MistralHermes-CodePro-7B-v1](https://huggingface.co/beowolx/MistralHermes-CodePro-7B-v1)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
base_model: teknium/OpenHermes-2.5-Mistral-7B
dtype: bfloat16
merge_method: task_arithmetic
slices:
- sources:
  - layer_range: [0, 32]
    model: teknium/OpenHermes-2.5-Mistral-7B
  - layer_range: [0, 32]
    model: nlpguy/Hermes-low-tune-2
    parameters:
      weight: 0.2
  - layer_range: [0, 32]
    model: beowolx/MistralHermes-CodePro-7B-v1
    parameters:
      weight: 0.2
  - layer_range: [0, 32]
    model: flemmingmiguel/Mistrality-7B
    parameters:
      weight: 0.2
  - layer_range: [0, 32]
    model: charlesdedampierre/TopicNeuralHermes-2.5-Mistral-7B
    parameters:
      weight: 0.2
  - layer_range: [0, 32]
    model: openaccess-ai-collective/openhermes-2_5-dpo-no-robots
    parameters:
      weight: 0.2
```