bge-large-en-v1.5 vs llama2-embedding-1b-8k

Specs, VRAM requirements and download trends — updated 10 November 2026.

BAAI · A · Open weights
Params
340 M
Context
512
30d
8.2 M
mit · commercial OK
mesolitica · B · Open weights
Params
947 M
Context
32,768
30d
416 K

Specification comparison

Differences are highlighted; identical values are muted.

Specification bge-large-en-v1.5 llama2-embedding-1b-8k
Parameters 340 M 947 M
Architecture BertModel LlamaModelEmbedding
Context length 512 32,768
Licence mit —
Commercial use Allowed Unknown
Languages 1 1
Downloads 30d 8,166,171 416,355
Downloads all time 179.7 M 4.2 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2023-09-12 2023-10-05

Download trend

Daily snapshots, last 90 days (13 Aug – 10 Nov)

13.8 M389 K
bge-large-en-v1.5 llama2-embedding-1b-8k

VRAM side by side

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

bge-large-en-v1.5 · fp16 2.0 GB / 24 GB
✅ Runs comfortably
llama2-embedding-1b-8k · fp16 4.8 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons