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README.md

@@ -92,7 +92,7 @@ Applying all [Unsloth](https://huggingface.co/unsloth) fixes improved inference
 
 # <span id="testllm" style="color: #7F7FFF;">🚀 Phi 4 Mini Function Calling Test!</span>
 
-If you have a minute, I’d really appreciate it if you could test my Phi-4-Mini-Instruct Demo at 👉 [Free Network Monitor](https://readyforquantum.com).  
+If you have a minute, I’d really appreciate it if you could test my Phi-4-Mini-Instruct Demo at 👉 [Quantum Network Monitor](https://readyforquantum.com).  
 💬 Click the **chat icon** (bottom right of the main and dashboard pages) . Then toggle between the LLM Types Phi-4-Mini-Instruct is called TestLLM : TurboLLM -> FreeLLM -> TestLLM.  
 
 ### What I'm Testing 
@@ -100,7 +100,7 @@ I'm experimenting with **function calling** against my network monitoring servic
 🟡 **TestLLM** – Runs **Phi-4-mini-instruct** using phi-4-mini-q4_0.gguf , llama.cpp on 6 threads of a Cpu VM (Should take about 15s to load. Inference speed is quite slow and it only processes one user prompt at a time—still working on scaling!). If you're curious, I'd be happy to share how it works! .  
 
 ### The other Available AI Assistants
-🟢 **TurboLLM** – Uses **gpt-4o-mini** Fast! . Note: tokens are limited since OpenAI models are pricey, but you can [Login](https://readyforquantum.com) or [Download](https://readyforquantum.com/download/?utm_source=huggingface&utm_medium=referral&utm_campaign=huggingface_repo_readme) the Free Network Monitor agent to get more tokens, Alternatively use the TestLLM .  
+🟢 **TurboLLM** – Uses **gpt-4o-mini** Fast! . Note: tokens are limited since OpenAI models are pricey, but you can [Login](https://readyforquantum.com) or [Download](https://readyforquantum.com/download/?utm_source=huggingface&utm_medium=referral&utm_campaign=huggingface_repo_readme) the Quantum Network Monitor agent to get more tokens, Alternatively use the TestLLM .  
 🔵 **HugLLM** – Runs **open-source Hugging Face models** Fast, Runs small models (≈8B) hence lower quality, Get 2x more tokens (subject to Hugging Face API availability)