Run a 1B Parameter LLM on a $10 Board with Pure C and Zero Dependencies
tom_doerr · x · 2026-07-30
PicoLM is an open-source local LLM inference project focused on extreme lightweight and low-cost deployment.
- Ultra-low Hardware Requirements: Capable of running a 1-billion parameter LLM on a $10 board with 256MB RAM, using only 45MB of RAM at runtime.
- Pure C Implementation: Zero dependencies, no Python environment or cloud API required, runs as a single binary.
- Offline Agent: Designed to be the local brain for PicoClaw (an ultra-lightweight AI assistant written in Go), forming a fully offline, closed-loop agent without internet access.
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