Update README.md

README.md

@@ -12,10 +12,23 @@ base_model:
 
 # Nero-7B-slerp
 
+<p align="center"> 
+<img src="https://i.postimg.cc/28Pc5XT1/output-1.jpg" alt="alt text" class="center" width="300"/>
+  </p>
+
 Nero-7B-slerp is a merge of the following models using [LazyMergekit](https://colab.research.google.com/drive/1obulZ1ROXHjYLn6PPZJwRR6GzgQogxxb?usp=sharing):
 * [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2)
 * [teknium/OpenHermes-2.5-Mistral-7B](https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B)
 
+## 📈 Performance
+| Model | AGIEval | GPT4All | TruthfulQA | Bigbench | Average |  
+| --- | --- | --- | --- | --- | --- | --- | --- |  
+| [teodortita/Nero-7B-slerp](#) | 41.73 | 73.37 | 58.66 | 43.03 | 54.2 |  
+| [mistralai/Mistral-7B-Instruct-v0.2](https://huggingface.co/mistralai/Mistral-7B-Instruct-v0.2) | 38.68 | 71.64 | 66.85 | 42.28 | 54.86 |  
+| [teknium/OpenHermes-2.5-Mistral-7B](https://huggingface.co/teknium/OpenHermes-2.5-Mistral-7B) | 42.82 | 73.04 | 53.02 | 40.99 | 52.47 |  
+
+Observe the metrics in bold to see the benchmarks where this merged model overtakes the base models in performance.
+
 ## 🧩 Configuration
 
 ```yaml