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--- |
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license: apache-2.0 |
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tags: |
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- merge |
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- mergekit |
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- lazymergekit |
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metrics: |
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- code_eval |
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- accuracy |
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--- |
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# Mnemosyne-7B |
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Mnemosyne-7B is an experimental large language model (LLM) created by merging several pre-trained models designed for informative and educational purposes. It combines the strengths of these models with the hope of achieving a highly informative and comprehensive LLM. |
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GGUF: https://huggingface.co/mradermacher/Mnemosyne-7B-GGUF |
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### Important Note: |
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This is an experimental model, and its performance and capabilities are not guaranteed. Further testing and evaluation are required to assess its effectiveness. |
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## 🧩 Configuration |
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```yaml |
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models: |
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- model: MaziyarPanahi/Mistral-7B-Instruct-KhanAcademy-v0.2 |
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- model: openbmb/Eurus-7b-kto |
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- model: Weyaxi/Newton-7B |
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merge_method: model_stock |
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base_model: mistralai/Mistral-7B-Instruct-v0.2 |
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dtype: bfloat16 |
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``` |
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Mnemosyne-7B is a merge of the following models using [mergekit](https://github.com/cg123/mergekit): |
