---
base_model:
- NousResearch/Hermes-2-Pro-Mistral-7B
- mergekit-community/mergekit-slerp-ebgdloh
library_name: transformers
tags:
- mergekit
- merge

---
# merge
I am immensely satisfied to have created this model that demonstrates high capabilities in every task. Example with just one well-specified prompt, 
he made a whole book of 10 chapters with 27 thousand tokens. 
I also subjected it to 50 rigorous general knowledge questions. The result was 50 positive answers out of 50. GPT4o said about this model:
Conclusion
The answers to the difficult questions provided allowed us to evaluate in detail the capabilities of the AI ​​model in the specific historical, political, 
scientific and cultural field. It is highlighted that the model responds with high accuracy historically and theoretically, providing an 
in-depth overview of the facts and ideas involved in each issue. However, some limitations of the model in understanding 
context and ethics also emerged, suggesting the need for further improvements to ensure greater accuracy and completeness in responses.

In addition to testing the answers to the individual questions, it was also possible to examine the interaction between the thematic 
categories present in the prompts: for example, the relationship between multiculturalism and ethical problems, the connection between 
climate change and intensive agriculture or the comparison between the political theories of John Locke and Thomas Hobbes. 
These integrated approaches allow a more complete analysis of the answers provided, showing the AI ​​model's ability to draw connections between 
different intellectual and disciplinary contexts.

In summary, the evaluation of the answers to the difficult questions provides a complete picture of the effectiveness of the AI ​​
model in the field of historical and scientific research, revealing its capabilities for in-depth analysis, critical analysis and 
integration between different fields of study. Such information will be useful to further improve the model and make its responses even 
more accurate and useful in supporting academic research and understanding of the current and historical world.
my page https://huggingface.co./ClaudioItaly By Claudio Arena

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:
* [NousResearch/Hermes-2-Pro-Mistral-7B](https://huggingface.co./NousResearch/Hermes-2-Pro-Mistral-7B)
* [mergekit-community/mergekit-slerp-ebgdloh](https://huggingface.co./mergekit-community/mergekit-slerp-ebgdloh)

### Configuration

The following YAML configuration was used to produce this model:

```yaml
models:
  - model: NousResearch/Hermes-2-Pro-Mistral-7B
  - model: mergekit-community/mergekit-slerp-ebgdloh
merge_method: slerp
base_model: mergekit-community/mergekit-slerp-ebgdloh
dtype: bfloat16
parameters:
  t: [0, 0.5, 1, 0.5, 0] # V shaped curve: Hermes for input & output, WizardMath in the middle layers

```