ERNIE-5.0-Preview-1022, ready for testing in LMArena!
ERNIE-5.0-Preview-1022 now ranks #2 globally on the LMArena Text leaderboard
ERNIE-5.0-Preview-1022 now ranks #2 globally on the LMArena Text leaderboard
We are excited to release PaddleOCR-VL, a SOTA and resource-efficient model tailored for document parsing.
How the new PLAS sparse attention update delivers performance gains for long-context inference on ERNIE 4.5 models.
As large models such as the ERNIE 4.5 family continue to be open-sourced, interest in their inference performance and deployment efficiency has multiplied across both research and industry. FastDeploy 2.0, built on the PaddlePaddle framework, addresses this demand by offering an end-to-end toolkit for efficient deployment and high-performance inference of large models.
We introduce ERNIE 4.5, a new family of large-scale multimodal models comprising 10 distinct variants. The model family consist of Mixture-of-Experts (MoE) models with 47B and 3B active parameters, with the largest model having 424B total parameters, as well as a 0.3B dense model.