roberta-base-go_emotions vs phishing-email-detection-distilbert_v2.4.1
Specs, VRAM requirements and download trends — updated 10 November 2026.
SamLowe · A · Open weights
Params
120 M
Context
512
30d
4.7 M
mit · commercial OK
cybersectony · B · Open weights
Params
70 M
Context
512
30d
311 K
apache-2.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | roberta-base-go_emotions | phishing-email-detection-distilbert_v2.4.1 |
|---|---|---|
| Parameters | 120 M | 70 M |
| Architecture | RobertaForSequenceClassification | DistilBertForSequenceClassification |
| Context length | 512 | 512 |
| Licence | mit | apache-2.0 |
| Commercial use | Allowed | Allowed |
| Languages | 1 | 1 |
| Downloads 30d | 4,662,377 | 311,288 |
| Downloads all time | 106.9 M | 4.3 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2022-09-15 | 2024-10-27 |
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
5.4 M283 K
roberta-base-go_emotions
phishing-email-detection-distilbert_v2.4.1
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
phishing-email-detection-distilbert_v2.4.1 · fp16
0.8 GB / 24 GB
roberta-base-go_emotions · fp16
1.1 GB / 24 GB
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