PrunaAI
基于google/gemma-2b模型通过AWQ技术压缩的4位量化版本，旨在提升推理效率并降低资源消耗。
PrunaAI提供的压缩版UniNER-7B-all模型，通过量化技术显著减少内存占用和能耗，同时保持较好的命名实体识别能力。
PrunaAI优化的8位量化版Palmyra小型语言模型，显著降低内存占用和能耗
PrunaAI压缩的MPT-7B故事写作模型，通过llm-int8技术实现高效推理
PrunaAI提供的压缩版MPT-7B-Chat模型，通过llm-int8技术优化，显著降低内存占用和能耗。
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