Update BLOG.md

BLOG.md

@@ -8,7 +8,7 @@ In the high-stakes world of Product Management, speed and precision are everythi
 But we didn't want a "chatty" AI. We wanted an agent that could operate under extreme bandwidth constraints—negotiating and finalized a PRD in **under 40 tokens.**
 
 ### 📉 The Initial Failure: The "Verbosity Trap"
-We began our journey with a powerful baseline: **Qwen-0.5B-Instruct**. However, during our first evaluation runs, we hit a wall. 
+We began our journey with a powerful baseline: **Qwen2.5-1.5B-Instruct-model**. However, during our first evaluation runs, we hit a wall. 
 
 The baseline model suffered from what we call the **"Verbosity Trap."** It would try to be polite, providing long-winded introductions like *"Certainly! I can help you with the Finance requirements..."* **The Result was Catastrophic:**
 - **Token Clipping:** The agent would hit the 40-token limit mid-sentence.