ERNIE 2.0
Foundation modelEnhanced Representation through kNowledge IntEgration 2.0
Parameters
340M
Context length
2K
Chinese support
Not supported
Reasoning ability
Enhanced Representation through kNowledge IntEgration 2.0 is an AI model published by 百度, released on 2019-07-00, 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
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
2019-07-00
Model file size
No data
MoE architecture
No
Total params / Active params
340M / N/A
Knowledge cutoff
No data
ERNIE 2.0
Open source & experience
Code license
No data
Weights license
No data
GitHub repo
GitHub link unavailable
Hugging Face
Hugging Face link unavailable
Live demo
No live demo
ERNIE 2.0
Official resources
DataLearnerAI blog
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ERNIE 2.0
API details
API speed
No data
No public API pricing yet.
ERNIE 2.0
Benchmark Results
No benchmark data to show.
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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 百度, released on 2019-07-00, for Foundation model, with 340M parameters, and 2K context length.
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