BAAI / feature-extraction updated 2 years ago

bge-small-en

Recommend switching to newest BAAI/bge-small-en-v1.5, which has more reasonable similarity distribution and same method of usage.

Params

30 M

Context

512

Downloads 30d

1.6 M

Likes

93

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

Download history

daily snapshots · 10 days

1.6 M1.6 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	f32	0.1 GB	0.7 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: 30 M
Tensor type: F32
Context length: 512
Vocabulary: 30,522
Layers / heads: 12 / 12
Licence: mit
First seen on the Hub: 2023-08-05
Training datasets: undisclosed
MTEB ArguAna (reported): 73.4
MTEB BIOSSES (reported): 79.350000814682
MTEB ArxivClusteringP2P (reported): 47.526444762786
MTEB ArxivClusteringS2S (reported): 39.973045724189
MTEB BiorxivClusteringP2P (reported): 39.683724281082
MTEB BiorxivClusteringS2S (reported): 35.388812495559
MTEB AskUbuntuDupQuestions (reported): 74.527437013587
MTEB Banking77Classification (reported): 85.270455797776
MTEB CQADupstackAndroidRetrieval (reported): 27.885
MTEB AmazonPolarityClassification (reported): 93.033614693824
MTEB AmazonReviewsClassification (en) (reported): 45.662498353633
MTEB AmazonCounterfactualClassification (en) (reported): 68.548415491933
Added to our catalog: 2026-07-28

Compare with

bge-small-en-v1.5 72.4 M bge-base-en-v1.5 10.0 M bge-small-zh-v1.5 4.8 M granite-embedding-small-english-r2 3.8 M all-MiniLM-L6-v2 2.9 M bge-base-en-v1.5 2.2 M

Appears in

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