Prebuild Image ‐ LLM8850

This project can run completely offline on the Pi 5 with LLM8850. You can follow the video tutorial to install it step by step, or simply download the pre-built image and use it by inserting it into your Raspberry Pi.

Hardware Requirement

• Raspberry Pi 5 (8GB or more)
• Active Cooler for Pi 5
• tf card (32GB or more)
• Waveshare 2-CH M.2 Hat / Raspberry Pi M.2 Hat
• M5Stack LLM8850
• Whisplay HAT (screen, speaker, mic, button)
• PiSugar 3 Plus (mobile power)

Video Tutorial

Offline AI powered by LLM8850

Prebuild Image

Click Here: whisplay-offline-llm8850-20260104.img.gz (9.9G) to download the image.

Remember to extract the .gz file into an .img file before flashing it.

SSH 
user: pi
password: raspberry

pisugar-power-manager
model: pisugar3
user: admin
password: admin

Note: The image may not auto-expand. It is recommended to manually expand the image to the actual size of the SD card when you log in via SSH for the first time.

sudo raspi-config --expand-rootfs
sudo reboot

This image is based on the latest version of the Raspberry Pi OS (Debian Trixie with the Raspberry Pi Desktop 64-bit, 2025-12-24) and comes pre-installed with the following software:

• LLM8850 Driver
• Qwen3 (adapted to LLM8850)
• whisper.axcl (with whisper-small-model)
• melotts.axcl (speech synthesis, text-to-speech, with English model, british accent)
• Whisplay HAT Driver (driver for the soundcard and screen)
• whisplay-ai-chatbot (this project, v1.2.1)
• pisugar-power-manager (v2.3.2, for displaying battery level)
• sugar-wifi-conf (config Wi-Fi through BLE)

How To Use

Use the image burning tool to flash the .img file onto a TF card (no need to configure Wi-Fi). Once the flashing is complete, insert the card into your Raspberry Pi 5 and power it on to start using it.

If you need to connect to Wi-Fi for further configuration, you can download the PiSugar APP on your mobile phone.

Use the "Wifi Config" feature to discover nearby devices, connect to your Raspberry Pi, and configure the Wi-Fi SSID and password. After a short wait, you will be able to see the Raspberry Pi's local network IP.

• If you have problems using the app, there's a web version, check out this link: https://www.pisugar.net/sugar-wifi-conf You can use the web version on android / chrome browsers.

The project folder is located at ~/whisplay-ai-chatbot. You can edit the .env file within the folder to configure the settings.

After modifying the configuration, you need to restart the service by running the following command:

sudo systemctl restart chatbot.service

This will apply the new settings.