jina-embeddings-v3
jina-embeddings-v3 is a multilingual multi-task text embedding model designed for a variety of NLP applications. Based on the Jina-XLM-RoBERTa architecture, this model supports Rotary Position Embeddings to handle long input sequences up to 8192 tokens. Additionally, it features 5 LoRA adapters to generate task-specific embeddings efficiently.
Params
570 M
Context
8,192
Downloads 30d
3.2 M
Likes
1,152
Commercial use: not allowed · cc-by-nc-4.0
Not gated
SAFETENSORS
94 languages
View on Hugging Face ↗
Download history
daily snapshots · 10 days3.2 M3.2 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 | bf16 | 1.1 GB | 1.8 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
- XLMRobertaModel
- Parameters
- 570 M
- Tensor type
- BF16
- Context length
- 8,192
- Vocabulary
- 250,002
- Layers / heads
- 24 / 16
- Licence
- cc-by-nc-4.0
- First seen on the Hub
- 2024-09-05
- Training datasets
- undisclosed
- MTEB AFQMC (default) (reported)
- 43.472678264757
- MTEB NQ-PL (default) (reported)
- 62.543
- MTEB FiQA-PL (default) (reported)
- 37.11
- MTEB Quora-PL (default) (reported)
- 88.23
- MTEB ArguAna-PL (default) (reported)
- 62.731
- MTEB DBPedia-PL (default) (reported)
- 14.939
- MTEB MSMARCO-PL (default) (reported)
- 9.623
- MTEB SCIDOCS-PL (default) (reported)
- 11.198
- MTEB SciFact-PL (default) (reported)
- 71.35
- MTEB HotpotQA-PL (default) (reported)
- 57.522
- MTEB NFCorpus-PL (default) (reported)
- 11.477
- MTEB TRECCOVID-PL (default) (reported)
- 72.189
- Added to our catalog
- 2026-07-28
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