蚂蚁开源Ling-3.1-flash-1019及Ling-3.1-flash-base
AI 总结
蚂蚁百灵发布了面向个人智能体任务的Ling-3.1-flash-1019，并同步以MIT许可证开放BF16格式的Ling-3.1-flash-base权重。两款模型均采用总参数5600亿、每Token激活250亿的混合专家架构。1019版支持最高100万Token上下文，并在Artificial Analysis智能指数v4.3.2中获得44分，较上一版本提高3分。百灵称，基础模型在与DeepSeek-V4-Pro-Base和MiMo-V2.5-Pro-Base的对比中，于47项测试里的32项取得最高分，但供应报道未证明该对比已被独立复现。
深度见解
此次发布同时提供面向个人智能体任务的后训练检查点，以及可供继续预训练、监督微调或强化学习的MIT许可基础权重。报道援引的Artificial Analysis数据也显示了一项取舍：1019在智能指数评测任务中的平均输出Token量较上一版本增加超过40%，单任务平均推理成本由1.01美元升至1.49美元。
Well, “coming soon” turned out to be five days.
I posted the earlier announcement last week. The 1019 weights are now on Hugging Face.
Still 560B total, 25B active, with a 1M context window. This is the update they reported at 44 on the AA Intelligence Index v4.3.2, up from 41. AutomationBench-AA went from 62% to 68%, according to the release.
They also put out Ling-3.1-flash-base in BF16 for further training. Glad they included that. It gives people a starting point for their own post-training instead of having to start with the finished chat model.
One small gotcha: the SGLang example in the 1019 README currently still points to inclusionAI/Ling-3.1-flash. Change the model path to inclusionAI/Ling-3.1-flash-1019 if you're copying that command for the new checkpoint. submitted by /u/BerryBlush_Rogers691
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#Ant#Bailing#Ling-3.1-flash-1019#Ling-3.1-flash-base#Ling-3.1-flash#Artificial Analysis#DeepSeek-V4-Pro-Base#MiMo-V2.5-Pro-Base