E5

E5-Large-v2

Embedding modelE5

EmbEddings from bidirEctional Encoder rEpresentations - Large V2

Release date: 2023-05-19Updated: 2023-08-08 17:28:45.424815
Parameters
330M
Context length
512
Chinese support
Not supported
Reasoning ability

EmbEddings from bidirEctional Encoder rEpresentations - Large V2 is an AI model published by Microsoft Azure, released on 2023-05-19, for Embedding model, with 330M parameters, and 512 context length, requiring about 1.34GB storage, under the MIT License license.

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

E5-Large-v2

Model basics

Reasoning traces
Not supported
Thinking modes
Thinking modes not supported
Context length
512 tokens
Max output length
No data
Model type
Embedding model
Modality (in / out)
Text → Embedding
Release date
2023-05-19
Model file size
1.34GB
MoE architecture
No
Total params / Active params
330M / N/A
Knowledge cutoff
No data
E5-Large-v2

Open source & experience

Code license
Weights license
MIT License- 免费商用授权
Live demo
No live demo
E5-Large-v2

Official resources

E5-Large-v2

API details

API speed
No data
No public API pricing yet.
E5-Large-v2

Benchmark Results

No benchmark data to show.

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E5-Large-v2

Publisher

EmbEddings from bidirEctional Encoder rEpresentations - Large V2

Model Overview

EmbEddings from bidirEctional Encoder rEpresentations - Large V2 is an AI model published by Microsoft Azure, released on 2023-05-19, for Embedding model, with 330M parameters, and 512 context length, requiring about 1.34GB storage, under the MIT License license.

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