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OpenBMB - 让大模型飞入千家万户 请检查您的电子邮件地址以获取确认链接 发送确认邮件 Open BMB 让大模型飞入千家万户 GitHub 启智 BM 体系架构图 BM Data BM Data BM Train Open Prompt Delta Center Open Delta BM Train Open Prompt BM Inf BM Inf BM Inf BM Cook BM Cook BM Train 大模型训练“发动机”。 BMTrain进行 高效的大模型预训练与微调。 与DeepSpeed等框架相比，BMTrain训练模型成本可节省 90% 。 详情 对比流行框架，BMTrain表现惊人 BM Cook 大模型“瘦身”工具库 。BMCook进行 大模型高效压缩 ，提高运行效率。通过量化、剪枝、蒸馏、专家化等算法组合，可保持原模型90%+效果， 模型推理加速10倍 。 详情 任意组合压缩方法尽可能地加速模型 BM Inf 千元级显卡玩转大模型推理 。BMInf实现 大模型低成本高效推理计算 ，使用单块千元级显卡（GTX 1060）即可进行百亿参数大模型推理。 详情 10B模型解码速度 (Tokens/s) BMInf PyTorch Open Prompt 大模型提示学习利器 。OpenPrompt提供 统一接口的提示学习模板语言 ， 它的组合性和模块化可以让你轻松部署提示学习方法以驱动大模型。 详情 工具结构 Open Delta “小”参数撬动“大”模型 。OpenDelta进行 参数高效的大模型微调 ，仅更新极少参数（小于5%）即可达到全参数微调的效果。 详情 OpenDelta可以和OpenPrompt协作运行 ModelCenter 大模型仓库。 ModelCenter基于BMTrain工具实现了一系列预训练语言模型，支持 高效、低成本、可扩展性强的模型微调及分布式训练 。 ...
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