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mxbai-embed-large-v1
by mixedbread-ai · source Hugging Face · updated 2026-01-23
apache-2.0639 MB~2 GB RAMsource aliveunlabeled
embedding model by mixedbread-ai, gguf files on Hugging Face.
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Source and license
- Source: https://huggingface.co/mixedbread-ai/mxbai-embed-large-v1
- License: apache-2.0
- Requirements: about 2 GB of RAM, 639 MB on disk (estimate: suggested file size × 1.15 + 0.5 GB; a real measurement comes with lsh models). Runs with llama.cpp.
- Tags:
sentence-transformersonnxsafetensorsopenvinoggufbertfeature-extractionmtebtransformers.jstransformersenmodel-indextext-embeddings-inferenceendpoints_compatible
Numbers
- 1,983,334 downloads on Hugging Face
- 826 likes
- license apache-2.0
- 0.6 GB for gguf/mxbai-embed-large-v1-f16.gguf
- 4,402,710 npm downloads a week for @huggingface/transformers
- latest @huggingface/transformers@4.3.0
Numbers as of 2026-10-02 21:01 UTC, from the source API.
Summary
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Files
| file | quant | size |
|---|---|---|
gguf/mxbai-embed-large-v1-f16.gguf | F16 | 639 MB |
model.safetensors | 639 MB | |
onnx/model.onnx | 1.2 GB | |
onnx/model_fp16.onnx | 638 MB | |
onnx/model_quantized.onnx | 321 MB | |
openvino/openvino_model.bin | 1.2 GB | |
openvino/openvino_model_qint8_quantized.bin | 321 MB |
From the source README
---
tags:
- mteb
- transformers.js
- transformers
model-index:
- name: mxbai-angle-large-v1
results:
- task:
type: Classification
dataset:
type: mteb/amazon_counterfactual
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/amazon_polarity
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/amazon_reviews_multi
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: map_at_1
value: 41.252
- type: map_at_10
value: 57.778
- type: map_at_100
value: 58.233000000000004
- type: map_at_1000
value: 58.23700000000001
- type: map_at_3
value: 53.449999999999996
- type: map_at_5
value: 56.376000000000005
- type: mrr_at_1
value: 41.679
- type: mrr_at_10
value: 57.92699999999999
- type: mrr_at_100
value: 58.389
- type: mrr_at_1000
value: 58.391999999999996
- type: mrr_at_3
value: 53.651
- type: mrr_at_5
v…
Source: https://huggingface.co/mixedbread-ai/mxbai-embed-large-v1
Card id model:hf:mixedbread-ai/mxbai-embed-large-v1 · collected 2026-10-02 21:01 UTC · JSON