distilbert-base-uncased-finetuned-sst-2-english vs bert-base-multilingual-uncased-sentiment
Specs, VRAM requirements and download trends — updated 6 August 2026.
distilbert · A
Params
70 M
Context
512
30d
3.7 M
apache-2.0 · commercial OK
nlptown · B
Params
170 M
Context
512
30d
735 K
mit · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | distilbert-base-uncased-finetuned-sst-2-english | bert-base-multilingual-uncased-sentiment |
|---|---|---|
| Parameters | 70 M | 170 M |
| Architecture | DistilBertForSequenceClassification | BertForSequenceClassification |
| Context length | 512 | 512 |
| Licence | apache-2.0 | mit |
| Commercial use | Allowed | Allowed |
| Languages | 1 | 6 |
| Downloads 30d | 3,651,414 | 734,839 |
| Downloads all time | 396.4 M | 66.3 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)
3.7 M726 K
distilbert-base-uncased-finetuned-sst-2-english
bert-base-multilingual-uncased-sentiment
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
distilbert-base-uncased-finetuned-sst-2-english · fp16
0.8 GB / 24 GB
bert-base-multilingual-uncased-sentiment · fp16
1.3 GB / 24 GB
Adjacent comparisons
finbert vs distilbert-base-uncased-finetuned-sst-2-english
distilbert-base-uncased-finetuned-sst-2-english vs twitter-roberta-base-sentiment-latest
bge-reranker-v2-m3 vs distilbert-base-uncased-finetuned-sst-2-english
distilbert-base-uncased-finetuned-sst-2-english vs bertweet-base-sentiment-analysis
bge-reranker-v2-m3 vs bert-base-multilingual-uncased-sentiment
bge-reranker-base vs distilbert-base-uncased-finetuned-sst-2-english