docs

modules/README.md

@@ -764,29 +764,6 @@ enabled = True
 repeater_channels = [2, 3]
 ```
 
-### Ollama (LLM/AI) Settings
-For Ollama to work, the command line `ollama run 'model'` needs to work properly. Ensure you have enough RAM and your GPU is working as expected. The default model for this project is set to `gemma3:270m`. Ollama can be remote [Ollama Server](https://github.com/ollama/ollama/blob/main/docs/faq.md#how-do-i-configure-ollama-server) works on a pi58GB with 40 second or less response time.
-
-```ini
-# Enable ollama LLM see more at https://ollama.com
-ollama = True # Ollama model to use (defaults to gemma2:2b)
-ollamaModel = gemma3:latest # Ollama model to use (defaults to gemma3:270m)
-ollamaHostName = http://localhost:11434 # server instance to use (defaults to local machine install)
-```
-
-Also see `llm.py` for changing the defaults of:
-
-```ini
-# LLM System Variables
-rawQuery = True # if True, the input is sent raw to the LLM if False, it is processed by the meshBotAI template
-
-# Used in the meshBotAI template (legacy)
-llmEnableHistory = True # enable history for the LLM model to use in responses adds to compute time
-llmContext_fromGoogle = True # enable context from google search results helps with responses accuracy
-googleSearchResults = 3 # number of google search results to include in the context more results = more compute time
-```
-Note for LLM in docker with [NVIDIA](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/docker-specialized.html). Needed for the container with ollama running. 
-
 ### Wikipedia Search Settings
 The Wikipedia search module can use either the online Wikipedia API or a local Kiwix server for offline wiki access. Kiwix is especially useful for mesh networks operating in remote or offline environments.