BitCPM-CANN Released as First 1.58-bit Open Model Fully Trained on Huawei Ascend 910B NPU

首个基于华为昇腾910B NPU全栈训练的1.58比特开源大模型BitCPM-CANN发布

ModelBest, Tsinghua University, and OpenBMB released BitCPM-CANN, a 0.5B-8B open model family trained natively on Huawei Ascend 910B NPUs with 1.58-bit ternary weights, cutting memory use by about 6x versus BF16 while retaining 95-97% of full-precision benchmark performance.

Why it matters: HKR-H/K/R all pass: the Ascend 910B plus 1.58-bit open model angle is novel and metric-rich. It stays below P1 because the post offers release facts, not independent replication or adoption signal.