multilingual-e5-large vs Qwen3-Embedding-4B-W4A16-G128
Specs, VRAM requirements and download trends — updated 28 September 2026.
intfloat · A · Open weights
Params
560 M
Context
512
30d
7.1 M
mit · commercial OK
boboliu · B · Open weights
Params
4.1 B
Context
40,960
30d
414 K
apache-2.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | multilingual-e5-large | Qwen3-Embedding-4B-W4A16-G128 |
|---|---|---|
| Parameters | 560 M | 4.1 B |
| Architecture | XLMRobertaModel | Qwen3ForCausalLM |
| Context length | 512 | 40,960 |
| Licence | mit | apache-2.0 |
| Commercial use | Allowed | Allowed |
| Languages | 94 | — |
| Downloads 30d | 7,131,743 | 413,817 |
| Downloads all time | 121.1 M | 2.5 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2023-06-30 | 2025-06-06 |
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
7.6 M414 K
multilingual-e5-large
Qwen3-Embedding-4B-W4A16-G128
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
multilingual-e5-large · fp16
3.0 GB / 24 GB
Qwen3-Embedding-4B-W4A16-G128 · fp16
4.0 GB / 24 GB