bge-large-en-v1.5 vs llama-nemotron-embed-1b-v2
Specs, VRAM requirements and download trends — updated 6 August 2026.
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | bge-large-en-v1.5 | llama-nemotron-embed-1b-v2 |
|---|---|---|
| Parameters | 340 M | 1.2 B |
| Architecture | BertModel | LlamaBidirectionalModel |
| Context length | 512 | 131,072 |
| Licence | mit | other |
| Commercial use | Allowed | Unknown |
| Languages | 1 | 1 |
| Downloads 30d | 13,117,894 | 827,762 |
| Downloads all time | 144.9 M | 3.3 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2023-09-12 | 2025-10-16 |
Download trend
Daily snapshots, last 10 days (28 Jul – 6 Aug)
13.4 M791 K
bge-large-en-v1.5
llama-nemotron-embed-1b-v2
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
bge-large-en-v1.5 · fp16
2.0 GB / 24 GB
llama-nemotron-embed-1b-v2 · fp16 @ 128K ctx
6.2 GB / 24 GB