英偉達開源新突破：新模型訓練算力節省1.8倍！
英偉達開源了兩款新型大模型Nemotron-4-Minitron-4B和Nemotron-4-Minitron-8B，採用結構化剪枝和知識蒸餾高效訓練方法，顯著降低訓練需求，減少數據和算力消耗。與傳統方法相比，新模型的訓練token數據減少40倍，算力成本節省1.8倍。通過優化Llama-3.18B，結構化剪枝簡化模型結構，知識蒸餾提升性能，Minitron-4B和Minitron-8B在MMLU上的評分提升16%，性能媲美Mistral7B等知名模型。這一開源舉措展示了英偉達在AI領域的領導地位，併爲AI社區提供了寶貴資源，推動AI技術向更高效、更智能方向發展。
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