Addressed location of docs comment

fern/docs/pages/installation/installation.mdx

@@ -89,6 +89,21 @@ Currently, not all the parameters of `llama.cpp` and `llama-cpp-python` are avai
 In case you need to customize parameters such as the number of layers loaded into the GPU, you might change
 these at the `llm_component.py` file under the `private_gpt/components/llm/llm_component.py`.
 
+##### Available LLM config options
+
+The `llm` section of the settings allows for the following configurations:
+
+- `mode`: how to run your llm
+- `max_new_tokens`: this lets you configure the number of new tokens the LLM will generate and add to the context window (by default Llama.cpp uses `256`)
+
+Example:
+
+```yaml
+llm:
+  mode: local
+  max_new_tokens: 256
+```
+
 If you are getting an out of memory error, you might also try a smaller model or stick to the proposed
 recommended models, instead of custom tuning the parameters.
 

fern/docs/pages/manual/settings.mdx

@@ -77,19 +77,4 @@ Missing variables with no default will produce an error.
 ```yaml
 server:
   port: ${PORT:8001}
-```
-
-## LLM config options
-
-The `llm` section of the settings allows for the following configurations:
-
-- `mode`: how to run your llm
-- `max_new_tokens`: this lets you configure the number of new tokens the LLM will generate and add to the context window (by default Llama.cpp uses `256`)
-
-Example:
-
-```yaml
-llm:
-  mode: local
-  max_new_tokens: 256
 ```