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

BGE-Large-zh-noinstruct

Model basics

Reasoning traces

Not supported

Context length

512 tokens

Max output length

No data

Model type

embedding模型

Release date

2023-08-02

Model file size

1.3GB

MoE architecture

Total params / Active params

0.0B / N/A

Knowledge cutoff

No data

Inference modes

No mode data

BGE-Large-zh-noinstruct

Open source & experience

Code license

MIT License

Weights license

MIT License- 免费商用授权

GitHub repo

https://github.com/FlagOpen/FlagEmbedding

Hugging Face

https://huggingface.co/BAAI/bge-large-zh-noinstruct

Live demo

No live demo

BGE-Large-zh-noinstruct

Official resources

Paper

Chinese Massive Text Embedding Benchmark

DataLearnerAI blog

No blog post yet

BGE-Large-zh-noinstruct

API details

API speed

No data

No public API pricing yet.

BGE-Large-zh-noinstruct

Benchmark Results

No benchmark data to show.

BGE-Large-zh-noinstruct

Publisher

北京智源人工智能研究院

View publisher details

BAAI General Embedding - Large - zh - noinstruct

Model Overview

BAAI General Embedding是北京智源人工智能研究院开源的一系列embedding大模型，支持中文和英文的embedding。效果很好，重要的是免费商用授权！

BAAI General Embedding - large - zh是其中文版本，输入序列512，输出维度1024。

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