bge-base-en-v1.5 vs llama-nemotron-embed-1b-v2

Specs, VRAM requirements and download trends — updated 6 August 2026.

Xenova · A
Params
Context
512
30d
2.2 M
mit · commercial OK
nvidia · B
Params
1.2 B
Context
131,072
30d
828 K

Specification comparison

Differences are highlighted; identical values are muted.

Specification bge-base-en-v1.5 llama-nemotron-embed-1b-v2
Parameters 1.2 B
Architecture BertModel LlamaBidirectionalModel
Context length 512 131,072
Licence mit other
Commercial use Allowed Unknown
Languages 1
Downloads 30d 2,193,728 827,762
Downloads all time 28.6 M 3.3 M
Quantizations on the Hub SAFETENSORS
Gated No No
First seen on the Hub 2023-09-13 2025-10-16

Download trend

Daily snapshots, last 10 days (28 Jul – 6 Aug)

2.2 M791 K
bge-base-en-v1.5 llama-nemotron-embed-1b-v2

VRAM side by side

On RTX 4090 · 24 GB · 8K context unless noted

llama-nemotron-embed-1b-v2 · fp16 @ 128K ctx 6.2 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons