BitCPM-CANN: Native 1.58-Bit Large Language Model Training on Ascend NPU

OpenBMB released BitCPM-CANN, a 1.58-bit QAT training stack on Ascend NPU with 0.5B, 1B, 3B, and 8B models trained from scratch, where the 1B to 8B variants retain 95.7%–97.2% of full-precision MiniCPM4 performance across 11 benchmarks.

Why it matters: HKR-H/K/R pass: low-bit native training on Ascend is novel, and the summary gives sizes plus retention rates. Reddit-only sourcing and no throughput or reproduction details keep it at the featured floor.