multilingual-e5-large vs llama-nemotron-embed-1b-v2
Specs, VRAM requirements and download trends — updated 21 September 2026.
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | multilingual-e5-large | llama-nemotron-embed-1b-v2 |
|---|---|---|
| Parameters | 560 M | 1.2 B |
| Architecture | XLMRobertaModel | LlamaBidirectionalModel |
| Context length | 512 | 131,072 |
| Licence | mit | other |
| Commercial use | Allowed | Unknown |
| Languages | 94 | 1 |
| Downloads 30d | 7,173,073 | 425,488 |
| Downloads all time | 109.3 M | 4.2 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2023-06-30 | 2025-10-16 |
Download trend
Daily snapshots, last 56 days (28 Jul – 21 Sep)
8.3 M425 K
multilingual-e5-large
llama-nemotron-embed-1b-v2
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
multilingual-e5-large · fp16
3.0 GB / 24 GB
llama-nemotron-embed-1b-v2 · fp16 @ 128K ctx
6.2 GB / 24 GB