Task
Feature Extraction
M
mixedbread-ai/mxbai-embed-large-v1
Feature Extraction·mixedbread-ai· 6.0M· 810
sentence-transformers
apache-2.0
335.1M params
arxiv:2309.12871
feature extraction · sentence-transformers model
# pull & run locally
pip install mlforge-sdk && mlforge pull mixedbread-ai/mxbai-embed-large-v1
pip install mlforge-sdk && mlforge pull mixedbread-ai/mxbai-embed-large-v1
Model details
Provider
mixedbread-ai
Framework
sentence-transformers
Parameters
335.1M
License
apache-2.0
Downloads
6.0M
Likes
810
Paper
arXiv:2309.12871
Updated
2026-01-23
About mixedbread-ai/mxbai-embed-large-v1
--- tags: - mteb - transformers.js - transformers model-index: - name: mxbai-angle-large-v1 results: - task: type: Classification dataset: type: mteb/amazoncounterfactual name: MTEB AmazonCounterfactualClassification (en) config: en split: test revision: e8379541af4e31359cca9fbcf4b00f2671dba205 metrics: - type: accuracy value: 75.044776119403 - type: ap value: 37.7362433623053 - type: f1 value: 68.92736573359774 - task: type: Classification dataset: type: mteb/amazonpolarity name: MTEB AmazonPolarityClassification config: default split: test revision: e2d317d38cd51312af73b3d32a06d1a08b442046 metrics: - type: accuracy value: 93.84025000000001 - type: ap value: 90.93190875404055 - type: f1 value: 93.8297833897293 - task: type: Classification dataset: type: mteb/amazonreviewsmulti name: MTEB AmazonReviewsClassification (en) config: en split: test revision: 1399c76144fd37290681b995c656ef9b2e06e26d metrics: - type: accuracy value: 49.184 - type: f1 value: 48.74163227751588 - task: type: Retrieval dataset: type: arguana name: MTEB ArguAna config: default split: test revision: None metrics: - type: mapat1 value: 41.252 - type: mapat10 value: 57.778 - type: mapat100 value: 58.233000000000004 - type: mapat1000 value: 58.23700000000001 - type: mapat3 value: 53.4499999999999