bge-reranker-large vs llama2-embedding-1b-8k

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

BAAI · A · Open weights
Params
560 M
Context
512
30d
2.0 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-reranker-large llama2-embedding-1b-8k
Parameters 560 M 947 M
Architecture XLMRobertaForSequenceClassification LlamaModelEmbedding
Context length 512 32,768
Licence mit —
Commercial use Allowed Unknown
Languages 2 1
Downloads 30d 2,041,111 416,355
Downloads all time 38.3 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)

2.8 M389 K
bge-reranker-large llama2-embedding-1b-8k

VRAM side by side

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

bge-reranker-large · fp16 3.0 GB / 24 GB
✅ Runs comfortably
llama2-embedding-1b-8k · fp16 4.8 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons