百度发布开源 ERNIE 5.5 Flash Base 大模型
Baidu releases ERNIE 5.5 Flash Base with 280 billion parameters as an open-source foundation model
百度发布 ERNIE-5.5-Flash-Base 开源基础模型，含 2800 亿参数，采用混合专家架构，单次输入激活 140 亿参数，预训练覆盖 3350 万亿 tokens，支持高达 128 万 tokens 的训练上下文，推理时上下文最长可达 100 万 tokens。
同一件事另外 3 家也报道了
- 量子位··首发
- IT之家 · AI··+1 小时 6 分
- The Decoder··+10 小时 41 分·当前阅读
百度发布开源 ERNIE 5.5 Flash Base 大模型
新增信息：The Decoder 提到预训练覆盖 3350 万亿 tokens。
- MarkTechPost··+14 小时 18 分
百度发布 ERNIE 5.5 Flash Base：一个 280B MoE 基础模型，每 token 激活 14B 参数
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Baidu's AI development is still alive, but most of the work is on you. The Chinese company has released ERNIE-5.5-Flash-Base, an open foundation model that ships deliberately without fine-tuning or post-training. Developers are expected to decide for themselves where to take the model. A post-trained version is supposed to follow.
ERNIE 5.5 uses a mixture-of-experts architecture with 280 billion parameters, 14 billion of which are active per input. The model was pre-trained on 33.5 trillion tokens with a training context of up to 128,000 tokens, though it's designed to support a context of up to one million tokens during fine-tuning and inference.
In benchmarks for reasoning, code, and long-context tasks, the model competes with similarly sized open foundation models like DeepSeek V4 Flash or MiMo V2.5, according to Baidu. The weights are available on Hugging Face in FP8 and BF16.
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来源: The Decoder · the-decoder.com