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ERNIE 1.0

Foundation model

Enhanced Representation through kNowledge IntEgration

Release date: 2019-03-16Updated: 2023-07-08 07:28:00.959669
Live demoGitHubHugging FaceCompare
Parameters
340M
Context length
2K
Chinese support
Supported
Reasoning ability

Enhanced Representation through kNowledge IntEgration is an AI model published by 百度, released on 2019-03-16, for Foundation model, with 340M parameters, and 2K context length, under the Apache 2.0 license.

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

ERNIE 1.0

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
2019-03-16
Model file size
No data
MoE architecture
No
Total params / Active params
340M / N/A
Knowledge cutoff
No data
ERNIE 1.0

Open source & experience

Code license
Apache 2.0
Weights license
Apache 2.0- 免费商用授权
GitHub repo
https://github.com/PaddlePaddle/ERNIE
Hugging Face
Hugging Face link unavailable
Live demo
No live demo
ERNIE 1.0

Official resources

Paper
ERNIE: Enhanced Representation through Knowledge Integration
DataLearnerAI blog
No blog post yet
ERNIE 1.0

API details

API speed
No data
No public API pricing yet.
ERNIE 1.0

Benchmark Results

No benchmark data to show.

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ERNIE 1.0

Publisher

百度
View publisher details
Enhanced Representation through kNowledge IntEgration

Model Overview

Enhanced Representation through kNowledge IntEgration is an AI model published by 百度, released on 2019-03-16, for Foundation model, with 340M parameters, and 2K context length, under the Apache 2.0 license.

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