Update README.md

README.md

@@ -16,14 +16,18 @@ tags:
 <center>
 <div style="text-align: center;">
   <img 
-    src="https://cdn-uploads.huggingface.co/production/uploads/61b8e2ba285851687028d395/7_6D7rWrLxp2hb6OHSV1p.png" 
+    src="https://cdn-uploads.huggingface.co/production/uploads/61b8e2ba285851687028d395/2b08LKpev0DNEk6DlnWkY.png" 
     alt="Liquid AI"
-    style="width: 100%; max-width: 66%; height: auto; display: inline-block; margin-bottom: 0.5em; margin-top: 0.5em;"
+    style="width: 100%; max-width: 100%; height: auto; display: inline-block; margin-bottom: 0.5em; margin-top: 0.5em;"
   />
 </div>
+<div style="display: flex; justify-content: center; gap: 0.5em;">
+  <a href="https://playground.liquid.ai/chat">
+<a href="https://playground.liquid.ai/"><strong>Try LFM</strong></a> • <a href="https://docs.liquid.ai/lfm"><strong>Documentation</strong></a> • <a href="https://leap.liquid.ai/"><strong>LEAP</strong></a></a>
+</div>
 </center>
 
-# LFM2‑VL
+# LFM2‑VL-1.6B
 
 LFM2‑VL is [Liquid AI](https://www.liquid.ai/)'s first series of multimodal models, designed to process text and images with variable resolutions. 
 Built on the [LFM2](https://huggingface.co/collections/LiquidAI/lfm2-686d721927015b2ad73eaa38) backbone, it is optimized for low-latency and edge AI applications. 
@@ -167,4 +171,15 @@ We obtained MM-IFEval and InfoVQA (Val) scores for InternVL 3 and SmolVLM2 model
 
 ## 📬 Contact
 
-If you are interested in custom solutions with edge deployment, please contact [our sales team](https://www.liquid.ai/contact).
+If you are interested in custom solutions with edge deployment, please contact [our sales team](https://www.liquid.ai/contact).
+
+## Citation
+
+```
+@article{liquidai2025lfm2,
+ title={LFM2 Technical Report},
+ author={Liquid AI},
+ journal={arXiv preprint arXiv:2511.23404},
+ year={2025}
+}
+```