ER
ERNIE 2.0
Foundation modelEnhanced Representation through kNowledge IntEgration 2.0
Release date: 2019-07-01Updated: 2022-05-10Views: 548
Parameters
340M
Context length
2K
Multilingual
No data
Reasoning ability
No data
Enhanced Representation through kNowledge IntEgration 2.0 is an AI model published by Baidu, released on 2019-07-01, for Foundation model, with 340M 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 2.0
Model basics
Reasoning traces
No data
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
2019-07-01
Model file size
No data
MoE architecture
No
Total params / Active params
340M / Not applicable
Knowledge cutoff
No data
ERNIE 2.0
Open source & experience
Code license
No data
Weights license
No data
GitHub repo
N/A
Hugging Face
N/A
Live demo
N/A
ERNIE 2.0
Official resources
Paper
DataLearnerAI blog
N/A
ERNIE 2.0
API details
API speed
No data
No public API pricing yet.
ERNIE 2.0
Publisher
Enhanced Representation through kNowledge IntEgration 2.0
Model Overview
Enhanced Representation through kNowledge IntEgration 2.0 is an AI model published by Baidu, released on 2019-07-01, for Foundation model, with 340M parameters, and 2K context length.
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