ERNIE Blog

ERNIE-5.0-Preview-1120, ready for testing in LMArena!

ERNIE-5.0-Preview-1120 now ranks #1 globally on the LMArena Text leaderboard

ERNIE-4.5-VL-28B-A3B-Thinking: A Breakthrough in Multimodal AI

We release ERNIE-4.5-VL-28B-A3B-Thinking, a multimodal reasoning model that achieves SOTA performance while activating only 3B parameters.

ERNIE-5.0-Preview-1022, ready for testing in LMArena!

ERNIE-5.0-Preview-1022 now ranks #2 globally on the LMArena Text leaderboard

PaddleOCR-VL: Boosting Multilingual Document Parsing via a 0.9B Ultra-Compact Vision-Language Model

We are excited to release PaddleOCR-VL, a SOTA and resource-efficient model tailored for document parsing.

ERNIE 4.5 Gets a Major Inference Speed Boost

How the new PLAS sparse attention update delivers performance gains for long-context inference on ERNIE 4.5 models.

FastDeploy 2.0: A Large-Scale Model Inference and Deployment Toolkit with Native Support for ERNIE 4.5

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.

Announcing the Open Source Release of the ERNIE 4.5 Model Family

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.