百度开源文心5.5 Flash Base基座模型

1. 18:10
   AITNT · AI头条Selected

   Baidu Open-Sources ERNIE 5.5 Flash Base Foundation Model with 280B Total and 14B Active Parameters

   On November 5, Baidu officially released and open-sourced weights for ERNIE 5.5 Flash Base, a sparse MoE foundation model featuring 280 billion total parameters and 14 billion activated parameters per token.

2. 16:21
   IT之家 · AI 筛选Selected

   Baidu ERNIE open-sources ERNIE 5.5 Flash Base foundation model

   Baidu's ERNIE team has open-sourced ERNIE-5.5-Flash-Base, a sparse MoE language model featuring 280B total parameters with 14B activated per token, pre-trained from scratch on 33.5T tokens. The model weights have not undergone mid-training or post-training, support up to a 1M-token context window for fine-tuning and inference, and were trained using a distributed Muon optimizer paired with the FlashMask-4 attention operator. The team stated that a post-trained full release will follow.

3. 15:15
   量子位Selected

   Baidu Open-Sources ERNIE 5.5 Flash Base Model

   Baidu has officially open-sourced ERNIE 5.5 Flash Base, a Mixture-of-Experts (MoE) base model featuring 280 billion total parameters with 14 billion activated parameters per token. Pre-trained on 33.5 trillion tokens, the model supports an inference context window of up to 1 million tokens and achieves class-leading performance across multiple benchmarks in knowledge, reasoning, and coding. Architecturally, it adopts latent gated sparse attention combining HCA and MLA, and learns to predict subsequent tokens by reusing the backbone's final layer. The model weights are now available on Hugging Face.

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