Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology

ERNIE-4.5-VL-424B-A47B-Base

Model basics

Reasoning traces

Not supported

Context length

128K tokens

Max output length

32768 tokens

Model type

多模态大模型

Release date

2025-06-30

Model file size

717.95 GB

MoE architecture

Yes

Total params / Active params

4240.0B / 470B

Knowledge cutoff

No data

Inference modes

No mode data

ERNIE-4.5-VL-424B-A47B-Base

Open source & experience

Code license

Apache 2.0

Weights license

Apache 2.0- 免费商用授权

GitHub repo

GitHub link unavailable

Hugging Face

https://huggingface.co/baidu/ERNIE-4.5-VL-424B-A47B-Base-Paddle

Live demo

https://yiyan.baidu.com/

ERNIE-4.5-VL-424B-A47B-Base

Official resources

Paper

No paper available

DataLearnerAI blog

No blog post yet

ERNIE-4.5-VL-424B-A47B-Base

API details

API speed

2/5

No public API pricing yet.

ERNIE-4.5-VL-424B-A47B-Base

Benchmark Results

No benchmark data to show.

ERNIE-4.5-VL-424B-A47B-Base

Publisher

百度

View publisher details

ERNIE-4.5-VL-424B-A47B-Base

Model Overview

ERNIE-4.5-VL-424B-A47B-Base是百度开源的基于MoE架构的多模态大模型，总参数量4240亿，激活参数470亿。

这个版本的模型包含两个不同的版本，分别是pytorch的结果和paddle的结果。包含基座和指令微调的版本。

https://huggingface.co/baidu/ERNIE-4.5-VL-424B-A47B-Base-Paddle

https://huggingface.co/baidu/ERNIE-4.5-VL-424B-A47B-Paddle

https://huggingface.co/baidu/ERNIE-4.5-VL-424B-A47B-PT

https://huggingface.co/baidu/ERNIE-4.5-VL-424B-A47B-Base-PT

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