gte-small
General Text Embeddings (GTE) model. Towards General Text Embeddings with Multi-stage Contrastive Learning
Params
30 M
Context
512
Downloads 30d
823 K
Likes
189
Download history
daily snapshots · 10 days823 K618 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 | 0.1 GB | 0.6 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
- F16
- Context length
- 512
- Vocabulary
- 30,522
- Layers / heads
- 12 / 12
- Licence
- mit
- First seen on the Hub
- 2023-07-27
- Training datasets
- undisclosed
- MTEB ArguAna (reported)
- 68.848
- MTEB BIOSSES (reported)
- 88.009234265769
- MTEB ArxivClusteringP2P (reported)
- 47.901780781977
- MTEB ArxivClusteringS2S (reported)
- 40.257283934319
- MTEB BiorxivClusteringP2P (reported)
- 38.365747692594
- MTEB BiorxivClusteringS2S (reported)
- 35.485703316529
- MTEB AskUbuntuDupQuestions (reported)
- 75.241392956074
- MTEB Banking77Classification (reported)
- 84.014850173022
- MTEB CQADupstackAndroidRetrieval (reported)
- 30.261
- MTEB AmazonPolarityClassification (reported)
- 91.80367382707
- MTEB AmazonReviewsClassification (en) (reported)
- 47.449066567472
- MTEB AmazonCounterfactualClassification (en) (reported)
- 67.32056515392
- Added to our catalog
- 2026-07-28
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