| license: other | |
| tags: | |
| - merge | |
| - mergekit | |
| - lazymergekit | |
| - microsoft/Orca-2-13b | |
| - KoboldAI/LLaMA2-13B-Psyfighter2 | |
| license_name: microsoft-research-license | |
| base_model: | |
| - KoboldAI/LLaMA2-13B-Psyfighter2 | |
| - microsoft/Orca-2-13b | |
| # Psyfighter2-Orca2-ties | |
| Psyfighter2-Orca2-ties is a merge of the following models using [mergekit](https://github.com/cg123/mergekit): | |
| * [KoboldAI/LLaMA2-13B-Psyfighter2](https://huggingface.co/KoboldAI/LLaMA2-13B-Psyfighter2) | |
| * [microsoft/Orca-2-13b](https://huggingface.co/microsoft/Orca-2-13b) | |
| This is my very first merge I have ever attempted. The motivation behind this merge is to try and create a 13B version of [jebcarter/psyonic-cetacean-20B](https://huggingface.co/jebcarter/psyonic-cetacean-20B). I don't have a good GPU (GTX 1660 6GB), so although I can merge the model, I cannot actually run it. However, the Open LLM Leaderboard ranks this merge with 63.48 avg point, which is higher than both KoboldAI/LLaMA2-13B-Psyfighter2 and jebcarter/psyonic-cetacean-20B, so I must did something right. The next step is to quantize this merge into GGUF so I can actually run it with [KoboldCpp](https://github.com/LostRuins/koboldcpp). | |
| ## 🧩 Configuration | |
| ```yaml | |
| models: | |
| - model: KoboldAI/LLaMA2-13B-Psyfighter2 | |
| - model: microsoft/Orca-2-13b | |
| parameters: | |
| density: 0.40 | |
| weight: [0, 0.3, 0.7, 1] | |
| merge_method: ties | |
| base_model: KoboldAI/LLaMA2-13B-Psyfighter2 | |
| parameters: | |
| normalize: true | |
| int8_mask: true | |
| dtype: float16 | |
| ``` |