ERNIE-ViLG 2.0
Foundation modelERNIE-ViLG 2.0
Parameters
24B
Context length
2K
Chinese support
Not supported
Reasoning ability
ERNIE-ViLG 2.0 is an AI model published by 百度, released on 2022-10-27, for Foundation model, with 24B parameters, and 2K context length.
Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology
ERNIE-ViLG 2.0
Model basics
Reasoning traces
Not supported
Thinking modes
Thinking modes not supported
Context length
2K tokens
Max output length
No data
Model type
Foundation model
Modality (in / out)
No data
Release date
2022-10-27
Model file size
No data
MoE architecture
No
Total params / Active params
24B / N/A
Knowledge cutoff
No data
ERNIE-ViLG 2.0
Open source & experience
Code license
No data
Weights license
No data
Live demo
No live demo
ERNIE-ViLG 2.0
Official resources
DataLearnerAI blog
No blog post yet
ERNIE-ViLG 2.0
API details
API speed
No data
No public API pricing yet.
ERNIE-ViLG 2.0
Benchmark Results
No benchmark data to show.
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ERNIE-ViLG 2.0
Publisher
ERNIE-ViLG 2.0
Model Overview
ERNIE-ViLG 2.0 is an AI model published by 百度, released on 2022-10-27, for Foundation model, with 24B parameters, and 2K context length.
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