
# 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
```
{"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"]}
transformers safetensors llama text-generation merge mergekit lazymergekit microsoft/Orca-2-13b KoboldAI/LLaMA2-13B-Psyfighter2 base_model:KoboldAI/LLaMA2-13B-Psyfighter2 base_model:microsoft/Orca-2-13b license:other autotrain_compatible endpoints_compatible text-generation-inference region:us