BGE m3

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Summary: Embedding model to map long multilingual text to a 1024 dimensional dense vector space.

Intelligence	Speed	Sovereignty	Input	Output
High	Medium	Medium	Text	Number Vector

Central parameters

Description: BGE m3 is an embedding model trained by the Beijing Academy of Artificial Intelligence to map sentences and paragraphs to a 1024-dimensional dense vector space. It supports 100 different languages with high performance and long input lengths. It can be used for tasks like clustering or semantic search.

Model identifier: BAAI/bge-m3

IONOS AI Model Hub Lifecycle and Alternatives

IONOS Launch	End of Life	Alternative	Successor
January 1, 2025	N/A	BGE Large V1.5

Origin

Provider	Country	License	Flavor	Release
BAAI	Community	License	-	January 28, 2024

Technology

Input Length	Parameters	Tensor Type	Multilingual
8192	568M	float	Yes

Modalities

Text	Image	Audio
Input and output	Not supported	Not supported

Endpoints

Chat Completions	Embeddings	Image generation
Not supported	v1/embeddings	Not supported

Features

Streaming	Tool calling
Not supported	Not supported

Rate limits

Rate limits ensure fair usage and reliable access to the AI Model Hub. In addition to the contract-wide rate limits, no model-specific limits apply.