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This paper systematically studies HiF8 W8A8 quantization-aware training for OpenPangu-Embedded-1B, identifying and addressing failure modes such as amax saturation and catastrophic forgetting, achieving near-lossless performance with a 64-step max-algorithm DTS strategy and a 500-step BF16 warmup.