fullstop-punctuation-multilang-large vs xlm-roberta-large-ner-hrl

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

oliverguhr · A
Params
560 M
Context
512
30d
511 K
mit · commercial OK
Davlan · B
Params
560 M
Context
512
30d
246 K
afl-3.0 · commercial OK

Specification comparison

Differences are highlighted; identical values are muted.

Specification fullstop-punctuation-multilang-large xlm-roberta-large-ner-hrl
Parameters 560 M 560 M
Architecture XLMRobertaForTokenClassification XLMRobertaForTokenClassification
Context length 512 512
Licence mit afl-3.0
Commercial use Allowed Allowed
Languages 5
Downloads 30d 510,559 245,704
Downloads all time 24.9 M 3.3 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2022-03-02 2022-03-02

Download trend

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

643 K246 K
fullstop-punctuation-multilang-large xlm-roberta-large-ner-hrl

VRAM side by side

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

fullstop-punctuation-multilang-large · fp16 3.0 GB / 24 GB
✅ Runs comfortably
xlm-roberta-large-ner-hrl · fp16 3.0 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons