multilingual-e5-small
Multilingual E5 Text Embeddings: A Technical Report. Liang Wang, Nan Yang, Xiaolong Huang, Linjun Yang, Rangan Majumder, Furu Wei, arXiv 2024
Params
120 M
Context
512
Downloads 30d
15.6 M
Likes
380
Download history
daily snapshots · 10 days15.8 M15.4 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 | 0.5 GB | 1.0 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
- 120 M
- Tensor type
- F32
- Context length
- 512
- Vocabulary
- 250,037
- Layers / heads
- 12 / 12
- Licence
- mit
- First seen on the Hub
- 2023-06-30
- Training datasets
- undisclosed
- MTEB ArguAna (reported)
- 19.061
- MTEB AmazonPolarityClassification (reported)
- 88.655562950325
- MTEB AmazonReviewsClassification (de) (reported)
- 39.386353063768
- MTEB AmazonReviewsClassification (en) (reported)
- 43.731873486542
- MTEB AmazonReviewsClassification (es) (reported)
- 39.301223469483
- MTEB AmazonReviewsClassification (fr) (reported)
- 37.97974261868
- MTEB AmazonReviewsClassification (ja) (reported)
- 37.073993697683
- MTEB AmazonReviewsClassification (zh) (reported)
- 36.623172738743
- MTEB AmazonCounterfactualClassification (de) (reported)
- 69.879634216067
- MTEB AmazonCounterfactualClassification (en) (reported)
- 67.954536791031
- MTEB AmazonCounterfactualClassification (ja) (reported)
- 52.07153895475
- MTEB AmazonCounterfactualClassification (en-ext) (reported)
- 63.001084800376
- Added to our catalog
- 2026-07-28
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