ER
ERNIE-4.5-VL-28B-A3B-Paddle
Release date: 2025-06-30Updated: 2025-06-30Views: 790
Parameters
28B
Context length
128K
Multilingual
Supported
Reasoning ability
3/5
ERNIE-4.5-VL-28B-A3B-Paddle is an AI model published by Baidu, released on 2025-06-30, for Multimodal model, with 28B parameters, and 128K context length, requiring about 58.84 GB storage.
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-28B-A3B-Paddle
Model basics
Reasoning traces
No data
Thinking modes
Thinking modes not supported
Context length
128K tokens
Max output length
32K tokens
Model type
Multimodal model
Modality (in / out)
Text, Image → Text, Image
Release date
2025-06-30
Model file size
58.84 GB
MoE architecture
Yes
Total params / Active params
28B / 3B
Knowledge cutoff
No data
ERNIE-4.5-VL-28B-A3B-Paddle
Open source & experience
ERNIE-4.5-VL-28B-A3B-Paddle
Official resources
Paper
N/A
DataLearnerAI blog
N/A
ERNIE-4.5-VL-28B-A3B-Paddle
API details
API speed
3/5
No public API pricing yet.
ERNIE-4.5-VL-28B-A3B-Paddle
Publisher
ERNIE-4.5-VL-28B-A3B-Paddle
Model Overview
ERNIE-4.5-VL-28B-A3B-Paddle is an AI model published by Baidu, released on 2025-06-30, for Multimodal model, with 28B parameters, and 128K context length, requiring about 58.84 GB storage.
DataLearner on WeChat
Follow DataLearner on WeChat for AI model updates and research notes.
