bge-reranker-v2-m3 vs fasttext-language-identification

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

BAAI · A
Params
570 M
Context
8,192
30d
19.2 M
apache-2.0 · commercial OK
facebook · B
Params
Context
30d
384 K
cc-by-nc-4.0 · non-commercial

Specification comparison

Differences are highlighted; identical values are muted.

Specification bge-reranker-v2-m3 fasttext-language-identification
Parameters 570 M
Architecture XLMRobertaForSequenceClassification
Context length 8,192
Licence apache-2.0 cc-by-nc-4.0
Commercial use Allowed Not allowed
Languages 1
Downloads 30d 19,224,490 384,245
Downloads all time 111.6 M 184.8 M
Quantizations on the Hub SAFETENSORS
Gated No No
First seen on the Hub 2024-03-15 2023-03-06

Download trend

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

19.3 M384 K
bge-reranker-v2-m3 fasttext-language-identification

VRAM side by side

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

bge-reranker-v2-m3 · fp16 3.1 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons