llmlingua-2-bert-base-multilingual-cased-meetingbank vs CodonTransformer
Specs, VRAM requirements and download trends — updated 10 November 2026.
microsoft · A · Open weights
Params
180 M
Context
512
30d
905 K
apache-2.0 · commercial OK
adibvafa · B · Open weights
Params
90 M
Context
4,096
30d
270 K
apache-2.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | llmlingua-2-bert-base-multilingual-cased-meetingbank | CodonTransformer |
|---|---|---|
| Parameters | 180 M | 90 M |
| Architecture | BertForTokenClassification | BigBirdForMaskedLM |
| Context length | 512 | 4,096 |
| Licence | apache-2.0 | apache-2.0 |
| Commercial use | Allowed | Allowed |
| Languages | — | — |
| Downloads 30d | 904,975 | 270,165 |
| Downloads all time | 5.4 M | 2.2 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2024-03-17 | 2024-05-24 |
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
905 K270 K
llmlingua-2-bert-base-multilingual-cased-meetingbank
CodonTransformer
A overtook B on 17 Sep
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
CodonTransformer · fp16
0.9 GB / 24 GB
llmlingua-2-bert-base-multilingual-cased-meetingbank · fp16
1.3 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
indonesian-roberta-base-posp-tagger vs CodonTransformer
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