Add runtime-configured Lab 3 browser terminal

content/labs/lab-3-llama-cpp-and-ollama.md

@@ -24,14 +24,14 @@ In this lab, we will:
   <strong>Execute</strong> sections require running commands and producing output.
 </div>
 
-To start this lab, use the embedded terminal below. It connects to the same lab machine in your browser and should prompt you to log in with the default `student` account.
+To start this lab, use the embedded terminal below. It connects to the same lab machine in your browser and should prompt you to log in with the managed `student` account.
 
 <div data-lab3-terminal></div>
 
 If the embedded terminal is unavailable, you can still fall back to:
 
 - SSH - <IP>:22
-- All necessary artifacts are in the `lab3` folder
+- The lab workspace is rooted at `/home/student/lab3`
 
 ## Objective 1: HuggingFace & LLaMa.cpp
 
@@ -99,7 +99,7 @@ The project’s original goal was to make LLaMA models accessible on systems wit
 For this lab we will work with **WhiteRabbitNeo‑V3‑7B**, a cybersecurity‑oriented fine‑tune of Qwen2.5‑Coder‑7B. This model is less popular than LLaMA-3.2, and if we'd like to run it in `llama.cpp` or Ollama, we first need to convert it into a usable GGUF artifact.
 
 <div class="lab-callout lab-callout--warning">
-  <strong>Warning:</strong> Although the next two steps show how to find and download this model so you can replicate the process, support files are already provided in <code>/home/student/lab3/WhiteRabbitNeo</code> to speed up lab execution.
+  <strong>Warning:</strong> Although the next two steps show how to find and download this model so you can replicate the process, any course-provided WhiteRabbitNeo support files will be staged under <code>/home/student/lab3/WhiteRabbitNeo</code> when they are available in the deployment.
 </div>
 
 ### 1. Locate & download the model