Model number

app.py

@@ -229,7 +229,7 @@ with gr.Blocks(
         <p style="margin-bottom: 15px;  text-align: start !important;">Welcome to the TuRTLe Model Leaderboard! TuRTLe is a <b>unified evaluation framework designed to systematically assess Large Language Models (LLMs) in RTL (Register-Transfer Level) generation</b> for hardware design.
         Evaluation criteria include <b>syntax correctness, functional accuracy, synthesizability, and post-synthesis quality</b> (PPA: Power, Performance, Area). TuRTLe integrates multiple benchmarks to highlight strengths and weaknesses of available LLMs. 
         Use the filters below to explore different RTL benchmarks and models.</p>
-    <p style="margin-top: 15px; text-align: start !important; "><span style="font-variant: small-caps; font-weight: bold;">NEW UPDATE (JUNE 2025)</span>: We make our framework open-source on GitHub, and add 6 new recent models! For a total of 27 models and 5 RTL benchmarks.</p>
+    <p style="margin-top: 15px; text-align: start !important; "><span style="font-variant: small-caps; font-weight: bold;">NEW UPDATE (JUNE 2025)</span>: We make our framework open-source on GitHub, and add 7 new recent models! For a total of 40 base and instruct models and 5 RTL benchmarks.</p>
     </div>
     """
     )