---
title: bge-base-zh
canonical_url: "https://www.modelscope.cn/models/Xorbits/bge-base-zh"
md_url: "https://www.modelscope.cn/models/Xorbits/bge-base-zh.md"
repository: Xorbits/bge-base-zh
last_updated: 2023-10-23
license: "Apache License 2.0"
model_type:
  - bert
architectures:
  - BertModel
library_name:
  - xinference
frameworks:
  - xinference
inference_backends:
  - "deploy_task emb"
  - "sglang 0.5.2"
  - "vllm 0.9.2"
downloads: 3289
stars: 5
---

# bge-base-zh

> bge-base-zh - Xorbits 在 ModelScope 开源的模型。This repo contains embedding model files for bge-base-zh.

Xorbits/bge-base-zh 是 ModelScope 魔搭社区上的机器学习模型，采用 Apache License 2.0 许可，可用 deploy_task emb、sglang 0.5.2、vllm 0.9.2 部署。

- **Repository**: Xorbits/bge-base-zh
- **License**: Apache License 2.0
- **Inference backends**: deploy_task emb, sglang 0.5.2, vllm 0.9.2
- **Downloads**: 3289
- **Stars**: 5
- **Last updated**: 2023-10-23

Source: https://www.modelscope.cn/models/Xorbits/bge-base-zh

---

## bge-base-zh

This repo contains embedding model files for bge-base-zh.

FlagEmbedding can map any text to a low-dimensional dense vector 
which can be used for tasks like retrieval, classification, clustering, or semantic search. 
And it also can be used in vector databases for LLMs.

## Information
- dimensions: 768
- max_tokens: 512
- language: zh