distilbert-base-uncased-finetuned-sst-2-english vs multilingual-sentiment-analysis

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
tabularisai · B
Params
140 M
Context
512
30d
399 K
cc-by-nc-4.0 · non-commercial

Specification comparison

Differences are highlighted; identical values are muted.

Specification distilbert-base-uncased-finetuned-sst-2-english multilingual-sentiment-analysis
Parameters 70 M 140 M
Architecture DistilBertForSequenceClassification DistilBertForSequenceClassification
Context length 512 512
Licence apache-2.0 cc-by-nc-4.0
Commercial use Allowed Not allowed
Languages 1 23
Downloads 30d 3,651,414 398,660
Downloads all time 396.4 M 5.9 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2022-03-02 2024-12-07

Download trend

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

3.7 M399 K
distilbert-base-uncased-finetuned-sst-2-english multilingual-sentiment-analysis

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
✅ Runs comfortably
multilingual-sentiment-analysis · fp16 1.1 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons