BGE Large v1.5
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Summary: Embedding model to map English text to a 1024 dimensional dense vector space.
Intelligence
Speed
Sovereignty
Input
Output
High
Medium
Medium
Text
Number Vector
Central parameters
Description: BGE Large 1.5 is an embedding model trained by the Beijing Academy of Artificial Intelligence to map sentences and paragraphs in English language to a 1024 dimensional dense vector space. It can be used for tasks like clustering or semantic search.
Model identifier: BAAI/bge-large-en-v1.5
IONOS AI Model Hub Lifecycle and Alternatives
IONOS Launch
End of Life
Alternative
Successor
Origin
Technology
Input Length
Parameters
Tensor Type
Multilingual
8192
335M
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.
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