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--- |
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base_model: |
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- NousResearch/Hermes-2-Pro-Mistral-7B |
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- mergekit-community/mergekit-slerp-ebgdloh |
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library_name: transformers |
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tags: |
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- mergekit |
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- merge |
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--- |
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# merge |
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I am immensely satisfied to have created this model that demonstrates high capabilities in every task. Example with just one well-specified prompt, |
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he made a whole book of 10 chapters with 27 thousand tokens. |
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I also subjected it to 50 rigorous general knowledge questions. The result was 50 positive answers out of 50. GPT4o said about this model: |
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Conclusion |
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The answers to the difficult questions provided allowed us to evaluate in detail the capabilities of the AI model in the specific historical, political, |
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scientific and cultural field. It is highlighted that the model responds with high accuracy historically and theoretically, providing an |
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in-depth overview of the facts and ideas involved in each issue. However, some limitations of the model in understanding |
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context and ethics also emerged, suggesting the need for further improvements to ensure greater accuracy and completeness in responses. |
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In addition to testing the answers to the individual questions, it was also possible to examine the interaction between the thematic |
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categories present in the prompts: for example, the relationship between multiculturalism and ethical problems, the connection between |
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climate change and intensive agriculture or the comparison between the political theories of John Locke and Thomas Hobbes. |
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These integrated approaches allow a more complete analysis of the answers provided, showing the AI model's ability to draw connections between |
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different intellectual and disciplinary contexts. |
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In summary, the evaluation of the answers to the difficult questions provides a complete picture of the effectiveness of the AI |
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model in the field of historical and scientific research, revealing its capabilities for in-depth analysis, critical analysis and |
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integration between different fields of study. Such information will be useful to further improve the model and make its responses even |
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more accurate and useful in supporting academic research and understanding of the current and historical world. |
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my page https://huggingface.co/ClaudioItaly By Claudio Arena |
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This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit). |
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## Merge Details |
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### Merge Method |
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This model was merged using the SLERP merge method. |
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### Models Merged |
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The following models were included in the merge: |
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* [NousResearch/Hermes-2-Pro-Mistral-7B](https://huggingface.co/NousResearch/Hermes-2-Pro-Mistral-7B) |
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* [mergekit-community/mergekit-slerp-ebgdloh](https://huggingface.co/mergekit-community/mergekit-slerp-ebgdloh) |
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### Configuration |
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The following YAML configuration was used to produce this model: |
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```yaml |
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models: |
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- model: NousResearch/Hermes-2-Pro-Mistral-7B |
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- model: mergekit-community/mergekit-slerp-ebgdloh |
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merge_method: slerp |
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base_model: mergekit-community/mergekit-slerp-ebgdloh |
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dtype: bfloat16 |
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parameters: |
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t: [0, 0.5, 1, 0.5, 0] # V shaped curve: Hermes for input & output, WizardMath in the middle layers |
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``` |
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