Developer Builds LLM Inference Engine in Pure C

A developer has created a local LLM inference engine written entirely in C with zero dependencies. The project, with a binary size of just 80KB, can run 1-billion-parameter models on a $10 board with only 256MB of RAM by streaming model layers from an SD card. The source code for the PicoClaw backend is available on GitHub.

- The project consists of two distinct components: PicoClaw, an AI assistant written in Go, and PicoLM, the inference engine written in pure C. PicoClaw acts as the front-end agent that can connect to cloud LLMs or use PicoLM for fully offline, local inference. - The PicoLM inference engine is built with approximately 2,500 lines of C11 code and is designed to run LLaMA-architecture models such as TinyLlama 1.1B. Its total runtime memory footprint is around 45MB. - To handle the 638MB model file on a device with only 256MB of RAM, PicoLM uses memory-mapping. This technique streams one model layer at a time from storage (like an SD card) into memory for processing, avoiding the need to load the entire model at once. - The PicoClaw assistant is a project from Sipeed, a Shenzhen-based hardware company known in the maker community for producing affordable RISC-V development boards. - This work is part of a rapid evolution in AI agent efficiency; the predecessor, Nanobot, was a Python rewrite that was 99% smaller than the original OpenClaw project. PicoClaw was then refactored from the ground up in Go. - The broader field of tiny, on-device inference includes other notable C/C++ based engines like `llama.cpp` and Picovoice's picoLLM, which also focus on running quantized models on resource-constrained hardware. - By combining PicoClaw with PicoLM, developers can create a fully self-contained AI agent that requires no internet connection, API keys, or cloud services, ensuring data privacy and eliminating ongoing costs. - The system is designed for specific low-cost, low-power hardware, including the Raspberry Pi Zero 2W ($15), Raspberry Pi 3/4/5, and the Sipeed LicheeRV ($12), which runs on a RISC-V architecture.

Get your own daily briefing

Scout delivers personalized news, insights, and conversations tailored to your role and industry.

Download on the App Store

Shared from Scout - Be the smartest in the room.