BAAI / feature-extraction updated 2 years ago

bge-base-zh-v1.5

Name: bge-base-zh-v1.5
Author: BAAI

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.

Params

—

Context

512

Downloads 30d

1.7 M

Likes

107

Commercial use: allowed mit Not gated 1 languages View on Hugging Face ↗

Download history

daily snapshots · 10 days

1.9 M1.7 M

Jul 28Jul 31Aug 3Aug 6

Specifications

Architecture: BertModel
Context length: 512
Vocabulary: 21,128
Layers / heads: 12 / 12
Licence: mit
First seen on the Hub: 2023-09-12
Training datasets: undisclosed
Added to our catalog: 2026-07-28

Compare with

bge-small-en-v1.5 72.4 M bge-large-en-v1.5 13.1 M bge-base-en-v1.5 10.0 M Qwen3-Embedding-0.6B 9.8 M multilingual-e5-large 7.5 M mxbai-embed-large-v1 4.9 M

Appears in

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