PrunaAI
基於google/gemma-2b模型通過AWQ技術壓縮的4位量化版本，旨在提升推理效率並降低資源消耗。
PrunaAI提供的壓縮版UniNER-7B-all模型，通過量化技術顯著減少內存佔用和能耗，同時保持較好的命名實體識別能力。
PrunaAI優化的8位量化版Palmyra小型語言模型，顯著降低內存佔用和能耗
PrunaAI壓縮的MPT-7B故事寫作模型，通過llm-int8技術實現高效推理
PrunaAI提供的壓縮版MPT-7B-Chat模型，通過llm-int8技術優化，顯著降低內存佔用和能耗。
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