BitForge: Run LLMs on Microcontrollers
I got GPT-2 running on an Arduino! Here's the quantization pipeline. Process: Q4_K_M quantization via llama.cpp Memory-mapped flash for weight storage Optimized matvec for ARM Cortex-M KV cache quantization Results: Arduino Nano 33 BLE: 3 tokens/sec ESP32-S3: 15 tokens/sec Raspberry Pi Pico: 8 tokens/sec Code: github.com/AmSach/bitforge Hardware requirements: 512KB RAM, 2MB flash.
Original Source
Read the full article at Dev →KhanList aggregates and links to publicly available news content. We do not host full articles from third-party sources. Always verify important information with original sources.