sat-3l-sm vs wikineural-multilingual-ner

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

segment-any-text · A · Open weights
Params
210 M
Context
514
30d
460 K
mit · commercial OK
Babelscape · B · Open weights
Params
180 M
Context
512
30d
649 K
cc-by-nc-sa-4.0 · non-commercial

Specification comparison

Differences are highlighted; identical values are muted.

Specification sat-3l-sm wikineural-multilingual-ner
Parameters 210 M 180 M
Architecture SubwordXLMForTokenClassification BertForTokenClassification
Context length 514 512
Licence mit cc-by-nc-sa-4.0
Commercial use Allowed Not allowed
Languages 85 10
Downloads 30d 459,768 649,452
Downloads all time 8.2 M 18.8 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2024-06-16 2022-03-02

Download trend

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

693 K247 K
sat-3l-sm wikineural-multilingual-ner

VRAM side by side

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

wikineural-multilingual-ner · fp16 1.3 GB / 24 GB
✅ Runs comfortably
sat-3l-sm · fp16 1.5 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons