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E5-Large-v2 - AI Model Details and Benchmarks | DataLearnerAI

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目录

Model catalogE5-Large-v2

E5

E5-Large-v2

EmbEddings from bidirEctional Encoder rEpresentations - Large V2

Release date: 2023-05-19更新于: 2023-08-08 17:28:45.424759

Live demoGitHub Hugging Face Compare

Parameters

3.3亿

Context length

512

Chinese support

Not supported

Reasoning ability

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

Context length

512 tokens

Max output length

No data

Model type

embedding模型

Release date

2023-05-19

Model file size

E5-Large-v2

Open source & experience

Code license

Weights license

MIT License- 免费商用授权

GitHub repo

https://github.com/microsoft/unilm/tree/master/e5

Hugging Face

https://huggingface.co/intfloat/e5-large-v2

E5-Large-v2

Official resources

Paper

Text Embeddings by Weakly-Supervised Contrastive Pre-training

DataLearnerAI blog

No blog post yet

E5-Large-v2

API details

API speed

No data

No public API pricing yet.

E5-Large-v2

Benchmark Results

No benchmark data to show.

E5-Large-v2

Publisher

Microsoft Azure

View publisher details

EmbEddings from bidirEctional Encoder rEpresentations - Large V2

Model Overview

微软发布的文本向量模型，仅支持英文，但是免费商用授权，MTEB排行榜很靠前！

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1.34GB

MoE architecture

No

Total params / Active params

3.3B / N/A

Knowledge cutoff

No data

Inference modes

No mode data

Live demo

No live demo