Minor fix

docs/docs/examples/llm.md

@@ -21,7 +21,7 @@ First, you'll need to download the chatbot model.
    - Once you've selected a model, download it using a command like the one below. Replace `<llama_model_path>` with the path of your chosen model.
 
 
-```zsh title="Downloading Zephyr 7B Model"
+```bash title="Downloading Zephyr 7B Model"
 wget https://huggingface.co/TheBloke/zephyr-7B-beta-GGUF/resolve/main/zephyr-7b-beta.Q5_K_M.gguf?download=true
 ```
 
@@ -37,7 +37,7 @@ Now, you'll set up the model in your application.
     - Modify the model path in app.py to point to your downloaded model.
     - Update the configuration parameters as necessary.
 
-```zsh title="Example Configuration" {2}
+```bash title="Example Configuration" {2}
 dat = {
     "llama_model_path": "nitro/interface/models/zephyr-7b-beta.Q5_K_M.gguf",
     "ctx_len": 2048,

docs/docs/features/prompt.md

@@ -26,7 +26,7 @@ To illustrate, let's create a "Pirate assistant":
 
 ### Prompt Configuration
 
-```bash title="Prompt Configuration" {7,8,9}
+```bash title="Prompt Configuration" {6,7,8}
 curl http://localhost:3928/inferences/llamacpp/loadmodel \
   -H 'Content-Type: application/json' \
   -d '{

docs/sidebars.js

@@ -51,13 +51,13 @@ const sidebars = {
       collapsed: false,
       items: ["examples/llm"],
     },
-    {
-      type: "category",
-      label: "Specification",
-      collapsible: false,
-      collapsed: false,
-      items: [{ type: "doc", id: "new/architecture", label: "Architecture" }],
-    },
+    // {
+    //   type: "category",
+    //   label: "Specification",
+    //   collapsible: false,
+    //   collapsed: false,
+    //   items: [{ type: "doc", id: "new/architecture", label: "Architecture" }],
+    // },
   ],
 
   apiSidebar: [