{"product_id":"eol-m5stack-llm-large-language-model-module-ax630c","title":"[EOL] M5Stack LLM (large language model) Module (AX630C)","description":"\u003cdiv style=\"\n  background: #f3f8ff;\n  border: 1px solid #cfe1ff;\n  border-left: 4px solid #1f6fe5;\n  border-radius: 8px;\n  padding: 14px 16px;\n  margin: 24px 0;\n\"\u003e\n  \u003cstrong style=\"\n    display: block;\n    color: #0d47a1;\n    font-size: 15px;\n    margin-bottom: 6px;\n  \"\u003e\n    Product Status Notice\n  \u003c\/strong\u003e\n\n  \u003cspan style=\"\n    color: #2c2c2c;\n    font-size: 14.5px;\n    line-height: 1.6;\n  \"\u003e\n    This product is \u003cstrong\u003eEOL (End of Life)\u003c\/strong\u003e.  \n    Please order the new version:\n    \n      Module LLM Kit\n    \n  \u003c\/span\u003e\n\u003c\/div\u003e\n\u003cstyle\u003e\n\/* ===== Scoped Description Style ===== *\/\n.product-description.rte {\n  font-family: -apple-system, BlinkMacSystemFont, \"Segoe UI\", Roboto, \"Helvetica Neue\", Arial, 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middle;\n}\n.product-description.rte .table-container td {\n  padding: 14px 16px;\n  border-bottom: 1px solid #e6ebf2;\n  vertical-align: middle;\n}\n.product-description.rte .table-container tbody td:first-child {\n  width: 36%;\n  text-align: center;\n  font-weight: 500;\n  color: #4a4f57;\n  background-color: rgba(31, 111, 229, 0.02);\n}\n.product-description.rte .table-container tbody tr:nth-child(even) {\n  background-color: #f7f9fc;\n}\n@media (hover: hover) {\n  .product-description.rte .table-container tbody tr:hover {\n    background-color: #eef3ff;\n  }\n}\n\n\/* ===== Learn \u0026 Documents Button ===== *\/\n.product-description.rte #learn-and-documents-btn {\n  display: inline-flex;\n  align-items: center;\n  padding: 6px 14px;\n  background-color: #1f6fe5;\n  color: #ffffff;\n  font-weight: 600;\n  border-radius: 6px;\n  margin-top: 8px;\n  text-decoration: none;\n  transition: background 0.3s ease;\n}\n.product-description.rte #learn-and-documents-btn:hover {\n  background-color: #1661c1;\n}\n\n\/* ===== Responsive Design for Smaller Screens (with table adjustments) ===== *\/\n@media screen and (max-width: 768px) {\n  .product-description.rte .table-container table,\n  .product-description.rte .table-container thead,\n  .product-description.rte .table-container tbody,\n  .product-description.rte .table-container th,\n  .product-description.rte .table-container td,\n  .product-description.rte .table-container tr {\n    display: block;\n    width: 100%;\n  }\n  .product-description.rte .table-container thead {\n    display: none;\n  }\n  .product-description.rte .table-container tbody tr {\n    padding: 12px 0;\n    border-bottom: 1px solid #e6ebf2;\n  }\n  .product-description.rte .table-container tbody td {\n    padding: 8px 16px;\n    border: none;\n    text-align: left;\n  }\n  .product-description.rte .table-container tbody td:first-child {\n    width: 100%;\n    background: none;\n    color: #1f6fe5;\n    font-weight: 600;\n    padding-top: 16px;\n  }\n  .product-description.rte .table-container tbody td:last-child {\n    padding-bottom: 16px;\n    color: #2c2f36;\n    line-height: 1.6;\n  }\n\n  \/* Ensure button appears correctly on mobile *\/\n  .product-description.rte #learn-and-documents-btn {\n    font-size: 14px;\n    padding: 8px 16px;\n  }\n}\n\u003c\/style\u003e\n\u003ch2 data-id=\"Description\" id=\"description\"\u003eDescription\u003c\/h2\u003e\n\u003cp\u003e\u003cstrong\u003eModule LLM\u003c\/strong\u003e 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.\u003c\/p\u003e\n\u003cp\u003eThis module integrates the \u003cstrong\u003eStackFlow\u003c\/strong\u003e framework, and with the \u003cstrong\u003eArduino\/UiFlow\u003c\/strong\u003e library, you can easily achieve edge-side intelligence with just a few lines of code. Equipped with the \u003cstrong\u003eAX630C\u003c\/strong\u003e SoC processor, it integrates a 3.2TOPs high-efficiency NPU, natively supporting Transformer models, and can easily handle complex AI tasks. It comes with \u003cstrong\u003e4GB LPDDR4\u003c\/strong\u003e memory (1GB for user use, 3GB dedicated to hardware acceleration) and \u003cstrong\u003e32GB eMMC\u003c\/strong\u003e 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.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eModule LLM\u003c\/strong\u003e integrates a microphone, speaker, TF storage card, \u003cstrong\u003eUSB OTG\u003c\/strong\u003e, 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 \u003cstrong\u003eUART\u003c\/strong\u003e 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.\u003c\/p\u003e\n\u003cp\u003eThis module is compatible with multiple models and comes pre-installed with the \u003cstrong\u003eQwen2.5-0.5B\u003c\/strong\u003e large language model, featuring built-in \u003cstrong\u003eKWS\u003c\/strong\u003e (wake word), \u003cstrong\u003eASR\u003c\/strong\u003e (speech recognition), \u003cstrong\u003eLLM\u003c\/strong\u003e (large language model), and \u003cstrong\u003eTTS\u003c\/strong\u003e (text-to-speech) functions, supporting separate calls or \u003cstrong\u003epipeline\u003c\/strong\u003e 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.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eModule LLM\u003c\/strong\u003e is plug-and-play, paired with \u003cstrong\u003eM5 hosts\u003c\/strong\u003e, 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.\u003c\/p\u003e\n\u003ch2 data-id=\"Features\" id=\"features\"\u003eFeatures\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eOffline inference, 3.2T@INT8 precision computing power\u003c\/li\u003e\n\u003cli\u003eIntegrated KWS (wake word), ASR (speech recognition), LLM (large language model), TTS (text-to-speech)\u003c\/li\u003e\n\u003cli\u003eMultiple model parallelism\u003c\/li\u003e\n\u003cli\u003eOnboard 32GB eMMC storage and 4GB LPDDR4 memory\u003c\/li\u003e\n\u003cli\u003eOnboard microphone and speaker\u003c\/li\u003e\n\u003cli\u003eSerial communication\u003c\/li\u003e\n\u003cli\u003eSD card firmware upgrade\u003c\/li\u003e\n\u003cli\u003eSupports ADB debugging\u003c\/li\u003e\n\u003cli\u003eRGB indicator light\u003c\/li\u003e\n\u003cli\u003eBuilt-in Ubuntu system\u003c\/li\u003e\n\u003cli\u003eSupports OTG function\u003c\/li\u003e\n\u003cli\u003eSupports Arduino\/UIFlow\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2 data-id=\"Includes\" id=\"includes\"\u003eIncludes\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e1 x Module LLM\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2 data-id=\"Applications\" id=\"applications\"\u003eApplications\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003eOffline voice assistant\u003c\/li\u003e\n\u003cli\u003eText-to-speech conversion\u003c\/li\u003e\n\u003cli\u003eSmart home control\u003c\/li\u003e\n\u003cli\u003eInteractive robots\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2 data-id=\"Specifications\" id=\"specifications\"\u003eSpecifications\u003c\/h2\u003e\n\u003cdiv class=\"table-container\"\u003e\n\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003eSpecification\u003c\/th\u003e\n\u003cth\u003eParameter\u003c\/th\u003e\n\u003c\/tr\u003e\n\u003c\/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003eProcessor SoC\u003c\/td\u003e\n\u003ctd\u003eAX630C@Dual Cortex A53 1.2 GHz \u003cbr\u003eMAX.12.8 TOPS @INT4, and 3.2 TOPS @INT8\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMemory\u003c\/td\u003e\n\u003ctd\u003e4GB LPDDR4 (1GB system memory + 3GB dedicated to hardware acceleration)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eStorage\u003c\/td\u003e\n\u003ctd\u003e32GB eMMC5.1\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eCommunication Interface\u003c\/td\u003e\n\u003ctd\u003eSerial communication, default baud rate 115200@8N1 (adjustable)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eMicrophone\u003c\/td\u003e\n\u003ctd\u003eMSM421A\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAudio Driver\u003c\/td\u003e\n\u003ctd\u003eAW8737\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSpeaker\u003c\/td\u003e\n\u003ctd\u003e8Ω@1W, size: 2014 cavity speaker\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eBuilt-in Functional Units\u003c\/td\u003e\n\u003ctd\u003eKWS (wake word), ASR (speech recognition), LLM (large language model), TTS (text-to-speech)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eRGB Light\u003c\/td\u003e\n\u003ctd\u003e3x RGB LED@2020 driven by LP5562 (status indicator)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePower Consumption\u003c\/td\u003e\n\u003ctd\u003eIdle: 5V@0.5W, Full load: 5V@1.5W\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eButton\u003c\/td\u003e\n\u003ctd\u003eUsed for entering download mode for firmware upgrade\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eUpgrade Interface\u003c\/td\u003e\n\u003ctd\u003eSD card\/Type C port\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eOperating Temperature\u003c\/td\u003e\n\u003ctd\u003e0-40°C\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eProduct Size\u003c\/td\u003e\n\u003ctd\u003e54.0 x 54.0 x 13.0mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eProduct Weight\u003c\/td\u003e\n\u003ctd\u003e17.1g\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePackage Size\u003c\/td\u003e\n\u003ctd\u003e132.0 x 95.0 x 16.0mm\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eGross Weight\u003c\/td\u003e\n\u003ctd\u003e31.9g\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003ch2\u003eLearn and Documents\u003c\/h2\u003e\n\n  → DOCUMENTS\n\n\u003c\/div\u003e","brand":"m5stack-store","offers":[{"title":"Default Title","offer_id":46036116734012,"sku":"pug1787247169238","price":33.43,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0676\/6985\/2220\/files\/eol-m5stack-llm-large-language-model-module-ax630c_1.webp?v=1787247177","url":"https:\/\/luxecladstore.shop\/products\/eol-m5stack-llm-large-language-model-module-ax630c","provider":"My Store","version":"1.0","type":"link"}