Qwen3-VL-Embedding-2B vs multilingual-e5-large-onnx
Specs, VRAM requirements and download trends — updated 10 November 2026.
Qwen · A · Open weights
Params
2.1 B
Context
—
30d
517 K
apache-2.0 · commercial OK
Qdrant · B · Open weights
Params
—
Context
512
30d
1.2 M
mit · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Qwen3-VL-Embedding-2B | multilingual-e5-large-onnx |
|---|---|---|
| Parameters | 2.1 B | — |
| Architecture | Qwen3VLForConditionalGeneration | XLMRobertaModel |
| Context length | — | 512 |
| Licence | apache-2.0 | mit |
| Commercial use | Allowed | Allowed |
| Languages | — | — |
| Downloads 30d | 516,518 | 1,235,754 |
| Downloads all time | 12.1 M | 3.9 M |
| Quantizations on the Hub | SAFETENSORS | — |
| Gated | No | No |
| First seen on the Hub | 2026-01-07 | 2024-01-16 |
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
1.4 M390 K
Qwen3-VL-Embedding-2B
multilingual-e5-large-onnx
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Qwen3-VL-Embedding-2B · fp16
5.5 GB / 24 GB