This Medium article reviews the Bonsai 27B paper and its reported ability to run a 27B-parameter model on an iPhone using 1-bit compression. It focuses on the trade-off between dramatically lower storage and inference costs and the capabilities, accuracy, and generality that may be lost during quantization. The item has weak external validation so far: the Hacker News submission has a score of 2 and no comments, and the original paper link is not included in the supplied metadata.
No heat snapshots are available in the last 24 hours.