mxbai-embed-large
Upstream reference: mxbai-embed-large-v1
Publisher: Mixedbread
Mixedbread documents a sentence-embedding checkpoint with retrieval-query instructions and optional vector truncation or binary quantization.
Publisher-described context, separate from Sigma5C observations and recorded catalog statistics.
Published upstream specifications
- Output type
- Sentence embedding vectors Source
- Documented dimension adaptation
- Matryoshka representation learning Source
Publisher-described uses
- Query-to-passage retrieval and semantic similarity. Source
Reference limitations
- The card distinguishes query prompting from document encoding; output settings depend on the chosen runtime configuration. Source
A recorded tag and an upstream card association do not verify the deployed checkpoint, quantization, configured context or current hosted availability.
Publisher sources
- mxbai-embed-large-v1 official documentation — Mixedbread. Checked .
Where mxbai-embed-large comes from
Company / lab
Mixedbread AI
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Model family
mxbai-embed-large
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