Run 100B LLMs on a Laptop: How BitNet’s 1‑bit Quantization Makes It Possible
BitNet’s 1‑bit quantization shrinks model size and compute needs by tenfold, enabling ordinary CPUs and low‑power ARM devices to run 2B‑100B language models locally with acceptable speed, low power consumption, and near‑original quality, while providing simple installation and optional GPU acceleration.
