就在刚刚，百度文心终于出手了，把自家基座模型文心 5.5 Flash Base 开源。
This is a AI post classified by AGK Intelligence as Open & local models (a model release), kept by the AI Radar because it carries real work, not commentary.
就在刚刚，百度文心终于出手了，把自家基座模型文心 5.5 Flash Base 开源。 一出手就在同尺寸模型里拿下 SOTA，在 30 项基准评测中表现突出。 超过了 DeepSeek-V4-Flash-Base、MiMo-V2.5-Base 等 Base 模型。 评测，覆盖了知识、推理、数学、代码、多语言和长上下文等方向。 模型开源地址：http://huggingface.co/collections/baidu/ernie-55-flash 模型从零开始预训练，喂了 33.5 万亿 Token，采用稀疏混合专家（MoE）架构。 总参数量 2800 亿，每个 Token 只激活其中的 140 亿，这样每次计算用到的参数少了，算力也省下不少。 另外上下文方面，预训练最长支持 128K，微调与推理支持 1M Token。 看了下它公开的技术拆解，花了不少心思在省算力上，比如 43 层里有 37 层把每 128 个 token 压成一条缓存，长文本就存得少了，感兴趣的朋友可以看下。 最后预判一下，基于它训练的文心 5.5 Flash 模型，估计很快就要发布了。 技术 Blog：http://ernie.baidu.com/zh/release/ernie-5-5-flash-base
Posted by GitHubDaily (91.4k followers) 1 days ago · 3 likes · 1.6k views · view the original post on X. Kept by the AI Radar as Open & local models. Tools mentioned: baidu, ERNIE 5.5 Flash Base.
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