End-of-Life M5Stack AX630C Large Language Model Acceleration Module

Description

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Description

Module LLM is an integrated offline large language model (LLM) inference module, designed for terminal devices that require efficient and intelligent interaction. Whether in smart homes, voice assistants, or industrial control, Module LLM can provide you with a smooth and natural AI experience without relying on the cloud, ensuring privacy, security, and stability.

This module integrates the StackFlow framework, and with the Arduino/UiFlow library, you can easily achieve edge-side intelligence with just a few lines of code. Equipped with the AX630C SoC processor, it integrates a 3.2TOPs high-efficiency NPU, natively supporting Transformer models, and can easily handle complex AI tasks. It comes with 4GB LPDDR4 memory (1GB for user use, 3GB dedicated to hardware acceleration) and 32GB eMMC storage, supporting parallel loading and serial inference of multiple models, ensuring smooth multitasking. The operating power consumption is only about 1.5W, much lower than similar products, making it energy-efficient and suitable for long-term operation.

Module LLM integrates a microphone, speaker, TF storage card, USB OTG, and RGB status light, meeting diverse application needs and easily enabling voice interaction and data transmission. In terms of flexible expansion, the onboard SD card slot supports firmware cold/hot upgrades, and the UART communication interface simplifies connection and debugging, ensuring continuous optimization and expansion of module functions. The USB port supports automatic master/slave switching, serving as both a debugging port and allowing connection to more USB devices such as cameras. Paired with the LLM debugging kit, it can expand to a 100M Ethernet port and kernel serial port, functioning as an SBC.

This module is compatible with multiple models and comes pre-installed with the Qwen2.5-0.5B large language model, featuring built-in KWS (wake word), ASR (speech recognition), LLM (large language model), and TTS (text-to-speech) functions, supporting separate calls or pipeline automatic flow, making development convenient. It will later support Qwen2.5-1.5B, Llama3.2-1B, and InternVL2-1B, among other edge-side LLM/VLM models, supporting hot updates to keep up with community trends and adapt to AI tasks of varying complexity. In terms of visual recognition capabilities, it supports CLIP, YoloWorld, and other Open world models, with future updates including DepthAnything, SegmentAnything, and other advanced models, empowering intelligent recognition and analysis.

Module LLM is plug-and-play, paired with M5 hosts, enabling a plug-and-play AI interaction experience. Users can integrate it into existing smart devices without complicated setups, quickly enabling intelligent functions and enhancing device intelligence. This product is suitable for offline voice assistants, text-to-speech conversion, smart home control, interactive robots, and more.

Features

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

Includes

• 1 x Module LLM

Applications

• Offline voice assistant
• Text-to-speech conversion
• Smart home control
• Interactive robots

Specifications

Specification	Parameter
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 to hardware acceleration)
Storage	32GB eMMC5.1
Communication Interface	Serial communication, default baud rate 115200@8N1 (adjustable)
Microphone	MSM421A
Audio Driver	AW8737
Speaker	8Ω@1W, size: 2014 cavity speaker
Built-in Functional 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 indicator)
Power Consumption	Idle: 5V@0.5W, Full load: 5V@1.5W
Button	Used for entering download mode for firmware upgrade
Upgrade Interface	SD card/Type C port
Operating Temperature	0-40°C
Product Size	54.0 x 54.0 x 13.0mm
Product Weight	17.1g
Package Size	132.0 x 95.0 x 16.0mm
Gross Weight	31.9g

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