multilingual-e5-large vs llama2-embedding-1b-8k
Specs, VRAM requirements and download trends — updated 10 November 2026.
intfloat · A · Open weights
Params
560 M
Context
512
30d
7.1 M
mit · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | multilingual-e5-large | llama2-embedding-1b-8k |
|---|---|---|
| Parameters | 560 M | 947 M |
| Architecture | XLMRobertaModel | LlamaModelEmbedding |
| Context length | 512 | 32,768 |
| Licence | mit | — |
| Commercial use | Allowed | Unknown |
| Languages | 94 | 1 |
| Downloads 30d | 7,131,743 | 416,355 |
| Downloads all time | 121.1 M | 4.2 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2023-06-30 | 2023-10-05 |
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
7.6 M389 K
multilingual-e5-large
llama2-embedding-1b-8k
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
multilingual-e5-large · fp16
3.0 GB / 24 GB
llama2-embedding-1b-8k · fp16
4.8 GB / 24 GB