Update README.md

README.md

@@ -9,27 +9,12 @@ tags:
 license_name: microsoft-research-license
 ---
 
-# Psyfighter2-Orca2-ties
+## **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)
+[exllamav2](https://github.com/turboderp/exllamav2) quant for [tuantran1632001/Psyfighter2-Orca2-13B-ties](https://huggingface.co/tuantran1632001/Psyfighter2-Orca2-13B-ties)
 
-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).
+Runs smoothly on single 3090 in webui with context length set to 4096, ExLlamav2_HF loader
+and cache_8bit=True
 
-## 🧩 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
-```
+All comments are greatly appreciated, download, test and if you appreciate my work, consider buying me my fuel:
+<a href="https://www.buymeacoffee.com/TeeZee" target="_blank"><img src="https://cdn.buymeacoffee.com/buttons/v2/default-yellow.png" alt="Buy Me A Coffee" style="height: 60px !important;width: 217px !important;" ></a>