fullstop-punctuation-multilang-large vs llmlingua-2-bert-base-multilingual-cased-meetingbank
Specs, VRAM requirements and download trends — updated 10 November 2026.
oliverguhr · A · Open weights
Params
560 M
Context
512
30d
363 K
mit · commercial OK
microsoft · B · Open weights
Params
180 M
Context
512
30d
905 K
apache-2.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | fullstop-punctuation-multilang-large | llmlingua-2-bert-base-multilingual-cased-meetingbank |
|---|---|---|
| Parameters | 560 M | 180 M |
| Architecture | XLMRobertaForTokenClassification | BertForTokenClassification |
| Context length | 512 | 512 |
| Licence | mit | apache-2.0 |
| Commercial use | Allowed | Allowed |
| Languages | 5 | — |
| Downloads 30d | 362,790 | 904,975 |
| Downloads all time | 25.7 M | 5.4 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2022-03-02 | 2024-03-17 |
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
905 K232 K
fullstop-punctuation-multilang-large
llmlingua-2-bert-base-multilingual-cased-meetingbank
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
llmlingua-2-bert-base-multilingual-cased-meetingbank · fp16
1.3 GB / 24 GB
fullstop-punctuation-multilang-large · fp16
3.0 GB / 24 GB
Adjacent comparisons
indonesian-roberta-base-posp-tagger vs llmlingua-2-bert-base-multilingual-cased-meetingbank
stanford-deidentifier-base vs llmlingua-2-bert-base-multilingual-cased-meetingbank
llmlingua-2-bert-base-multilingual-cased-meetingbank vs ner-german-large
wikineural-multilingual-ner vs llmlingua-2-bert-base-multilingual-cased-meetingbank
bert-base-NER vs llmlingua-2-bert-base-multilingual-cased-meetingbank
stanford-deidentifier-base vs fullstop-punctuation-multilang-large