面壁智能聯合清華大學、OpenBMB開源社區，發佈並開源了低比特大模型訓練成果BitCPM-CANN，在華爲昇騰平臺原生完成。該成果包含0.5B至8B四個模型尺寸，性能優異，能釋放六倍顯存紅利，顯著推動端側AI大模型的輕量化與工程落地。
面壁智能聯合清華大學及OpenBMB開源社區，發佈並開源了中國首個基於華爲昇騰平臺訓練的三值（1.58-bit）大模型BitCPM-CANN。該模型在低比特訓練領域取得突破，實現從量化算子到訓練算法的全鏈路原生開發，推出0.5B至8B四個尺寸版本，展示了國產算力平臺的強大實力。
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