thenlper / sentence-similarity updated 1 year ago

gte-large

General Text Embeddings (GTE) model. Towards General Text Embeddings with Multi-stage Contrastive Learning

Params

340 M

Context

512

Downloads 30d

897 K

Likes

306

Commercial use: allowed mit Not gated SAFETENSORS 1 languages View on Hugging Face ↗

Download history

daily snapshots · 10 days

898 K850 K

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	0.7 GB	1.3 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: BertModel
Parameters: 340 M
Tensor type: F16
Context length: 512
Vocabulary: 30,522
Layers / heads: 24 / 16
Licence: mit
First seen on the Hub: 2023-07-27
Training datasets: undisclosed
MTEB ArguAna (reported): 70.555
MTEB BIOSSES (reported): 88.211648516469
MTEB ArxivClusteringP2P (reported): 48.619246083417
MTEB ArxivClusteringS2S (reported): 43.357406766469
MTEB BiorxivClusteringP2P (reported): 39.105105197395
MTEB BiorxivClusteringS2S (reported): 36.846899602644
MTEB AskUbuntuDupQuestions (reported): 76.155960075628
MTEB Banking77Classification (reported): 86.015555976818
MTEB CQADupstackAndroidRetrieval (reported): 32.8
MTEB AmazonPolarityClassification (reported): 92.511121694318
MTEB AmazonReviewsClassification (en) (reported): 48.44785682573
MTEB AmazonCounterfactualClassification (en) (reported): 66.236843539509
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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