Alibaba-NLP / sentence-similarity updated 1 year ago

gte-multilingual-base

The gte-multilingual-base model is the latest in the GTE (General Text Embedding) family of models, featuring several key attributes:

Params

310 M

Context

8,192

Downloads 30d

1.2 M

Likes

370

Commercial use: allowed apache-2.0 Not gated SAFETENSORS 75 languages View on Hugging Face ↗

Download history

daily snapshots · 10 days

1.2 M1.2 M

Jul 28Jul 31Aug 3Aug 6

Can you run it?

Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.

File	Quant	Size	Est. VRAM	Verdict on RTX 4090 · 24 GB
model.safetensors	f16	0.6 GB	1.2 GB	✅ Runs comfortably

Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.

Specifications

Architecture: NewModel
Parameters: 310 M
Tensor type: F16
Context length: 8,192
Vocabulary: 250,048
Layers / heads: 12 / 12
Licence: apache-2.0
First seen on the Hub: 2024-07-20
Training datasets: undisclosed
MTEB ATEC (reported): 48.911863634175
MTEB AFQMC (reported): 43.54760696384
MTEB AllegroReviews (reported): 41.68986083499
MTEB 8TagsClustering (reported): 33.6668172633
MTEB AlloprofReranking (reported): 64.91495250072
MTEB AlloprofRetrieval (reported): 53.638
MTEB AlloProfClusteringP2P (reported): 54.202413379779
MTEB AlloProfClusteringS2S (reported): 44.340836956086
MTEB AmazonPolarityClassification (reported): 80.717625
MTEB AmazonReviewsClassification (de) (reported): 40.108
MTEB AmazonReviewsClassification (en) (reported): 43.642
MTEB AmazonCounterfactualClassification (en) (reported): 75.955223880597
Added to our catalog: 2026-07-28

Compare with

all-MiniLM-L6-v2 257.8 M paraphrase-multilingual-MiniLM-L12-v2 59.4 M bge-m3 35.0 M all-mpnet-base-v2 25.2 M nomic-embed-text-v1.5 15.7 M paraphrase-multilingual-mpnet-base-v2 11.5 M

Appears in

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