Original M5Stack LLM (Large Language Model) Module (AX630C) – PartsCountry

Description

This LLM module is trained on huge amounts of data (hence the name large) making it able to understand and generate natural language and other types of content to perform a wide range of tasks, such as wake word detection (Detects phrases/keywords in audio streams and conversations), speech recognition (ASR), multilingual support?for over 29 languages and?text-to-speech (TTS).With the StackFlow framework and Arduino/UiFlow libraries on board, It lets you easily carry out smart features with minimal coding effort.

With an AX630C SoC processor, the module also includes a 3.2 TOPs (Tera Operations per Second) NPU with native support for Transformer models that measure and simplify the AI’s performance. It has 4GB LPDDR4 memory (1GB for what you want to use it for and 3GB for hardware acceleration) and 32GB eMMC storage, supporting the parallel loading and sequential inference of multiple models for straightforward multitasking.

Here are some of the handy bits that come on board. A microphone, speaker, SD card slot, USB OTG, and an RGB status light allow you to record, listen back, upgrade the firmware and transfer data. There is also a UART communication port for easy connection and debugging and a USB-C port with master-slave auto-switching functionality for connecting additional devices such as cameras.

Features

• Offline inference, 3.2T@INT8 precision computing power
• Integrated KWS (wake word), ASR (speech recognition), LLM (large language model), TTS (text-to-speech generation)
• Multi-model parallel processing
• 32GB eMMC storage and 4GB LPDDR4 memory
• Microphone and speaker
• Serial communication
• SD card firmware upgrade
• Supports ADB debugging
• RGB indicator light
• Built-in Ubuntu system
• Supports OTG functionality
• Compatible with Arduino/UIFlow

Specifications

Processor SoC	AX630C@Dual Cortex A53 1.2 GHz
	MAX.12.8 TOPS @INT4 and 3.2 TOPS @INT8
Memory	4GB LPDDR4 (1GB system memory + 3GB dedicated for hardware acceleration)
Storage	32GB eMMC5.1
Communication	Serial communication default baud rate 115200@8N1 (adjustable)
Microphone	MSM421A
Audio Driver	AW8737
Speaker	8??@1W, Size:2014 cavity speaker
Built-in Units	KWS (wake word), ASR (speech recognition), LLM (large language model), TTS (text-to-speech)
RGB Light	3x RGB LED@2020 driven by LP5562 (status indication)
Power	Idle: 5V@0.5W, Full load: 5V@1.5W
Button	For entering download mode for firmware upgrade
Upgrade Port	SD card / Type-C port
Working Temp	0-40??C
Product Size	54 x 54 x 13mm
Packaging Size	133 x 95 x 16mm
Product Weight	17.4g
Packaging Weight	32.0g

Resources

• Product Wiki
• Arduino IDE Tutorial
• UIFlow2.0 Tutorial
• Schematic

Pinout

Package Contents

• 1x LLM Module