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deepseek-coder & deepseek-chat Upgraded to DeepSeek V2.5 Model​

DeepSeek 官方更新日志 · 原文日期(时区未知)
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来源摘要

来源标注日期:2024-09-05(未提供具体时刻)。 The DeepSeek V2 Chat and DeepSeek Coder V2 models have been merged and upgraded into the new model, DeepSeek V2.5. For backward compatibility, API users can access the new model through either deepseek-coder or deepseek-chat. The new model significantly surpasses the previous versions in both general capabilities and code abilities. The new model better aligns with human preferences and has been optimized in various areas such as writing tasks and instruction following: ArenaHard win rate improved from 68.3% to 76.3% AlpacaEval 2.0 LC win rate increased from 46.61% to 50.52% MT-Bench score rose from 8.84 to 9.02 AlignBench score increased from 7.88 to 8.04 The new model has further enhanced its code generation capabilities based on the original Coder model, optimized for common programming application scenarios, and achieved the following results on the standard test set: HumanEval: 89% LiveCodeBench (January-September): 41%

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来源
DeepSeek 官方更新日志 · 官方来源
原文日期
2024-09-05(时区未注明)
首次采集
2026/09/19 13:21

本文为公开信息索引与摘要,详情及后续变化请以原始来源为准。

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