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free models.

Publisher

BBAAI

BAAI

Explore 5 free AI models published by BAAI. Compare capabilities, benchmarks, and the API providers offering them.

Explore 5 models

At a glance

Free models
5
API providers
1
With reasoning
0
With tool calling
0
Largest context window8K tokens

Based on models in this catalogue. Availability and free limits vary by model.

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Models by BAAI.

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5 results

The bge-base-en-v1.5 embedding model converts English sentences and paragraphs into 768-dimensional dense vectors, delivering efficient, high-quality semantic embeddings optimized for retrieval, semantic search, and document-matching workflows. This version (v1.5) features...

The bge-large-en-v1.5 embedding model maps English sentences, paragraphs, and documents into a 1024-dimensional dense vector space, delivering high-fidelity semantic embeddings optimized for semantic search, document retrieval, and downstream NLP tasks...

The bge-m3 embedding model encodes sentences, paragraphs, and long documents into a 1024-dimensional dense vector space, delivering high-quality semantic embeddings optimized for multilingual retrieval, semantic search, and large-context applications.

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