Update README.md

README.md

@@ -61,7 +61,11 @@ Zamba2-2.7B-Instruct punches dramatically above its weight, achieving extremely
 | StableLM-Zephyr-3B | 3B | 66.43 | 38.27 |
 
 
-Moreover, due to its unique hybrid SSM architecture, Zamba2-2.7B-Instruct achieves extremely low inference latency and rapid generation with a significantly smaller memory footprint than comparable transformer based models. 
+Moreover, due to its unique hybrid SSM architecture, Zamba2-2.7B-Instruct achieves extremely low inference latency and rapid generation with a significantly smaller memory footprint than comparable transformer-based models. 
+
+<center>
+<img src="https://cdn-uploads.huggingface.co/production/uploads/65c05e75c084467acab2f84a/U7VD9PYLj3XcEjgV08sP5.png" width="700" alt="Zamba performance">
+</center>
 
 Time to First Token (TTFT)             |  Output Generation
 :-------------------------:|:-------------------------: