Off-grid LLM over Radio Howto
A platform that integrates Large Language Models (LLMs) with Meshtastic mesh communication networks to enable off-grid AI interactions and automated task execution through radio communication.
View MoreHow to Use Off-grid LLM over Radio
Install Prerequisites: Install Python 3.8+, Meshtastic Python library, Ollama LLM Python SDK, and PubSub library using pip install -r requirements.txt
Set Up Hardware: Connect your Meshtastic radio device via USB to your computer or configure it for TCP network access
Clone Repository: Clone the radio-llm repository from GitHub (https://github.com/pham-tuan-binh/radio-llm)
Configure Interface: Choose and configure the appropriate interface in the code - either Serial (USB), TCP (network), or BLE (Bluetooth) connection to your Meshtastic device
Set Up Ollama Model: Install your preferred LLM model in Ollama and update the model name in model/config.yaml file
Run the Platform: Execute the main script to start the LLM-radio integration platform
Interact with LLM: Send messages over the Meshtastic mesh network using either normal messages or '/tool your_message' command to activate tool functionality
Optional: Add Custom Tools: Create custom tools by defining them in model/tool_handler.py, registering in model/tool_registry.py, and describing in config.yaml
Off-grid LLM over Radio FAQs
Radio-LLM is a platform that integrates Large Language Models (LLMs) with Meshtastic mesh communication networks, allowing users to interact with an LLM over radio for automated responses and execute tasks like calling emergency services or retrieving sensor information.
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