bge-reranker-v2-m3 vs twitter-roberta-base-sentiment-latest
Specs, VRAM requirements and download trends — updated 10 November 2026.
BAAI · A · Open weights
Params
570 M
Context
8,192
30d
14.8 M
apache-2.0 · commercial OK
cardiffnlp · B · Open weights
Params
—
Context
512
30d
2.4 M
cc-by-4.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | bge-reranker-v2-m3 | twitter-roberta-base-sentiment-latest |
|---|---|---|
| Parameters | 570 M | — |
| Architecture | XLMRobertaForSequenceClassification | RobertaForSequenceClassification |
| Context length | 8,192 | 512 |
| Licence | apache-2.0 | cc-by-4.0 |
| Commercial use | Allowed | Allowed |
| Languages | 1 | 1 |
| Downloads 30d | 14,772,977 | 2,413,051 |
| Downloads all time | 166.8 M | 332.1 M |
| Quantizations on the Hub | SAFETENSORS | — |
| Gated | No | No |
| First seen on the Hub | 2024-03-15 | 2022-03-15 |
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
18.9 M2.4 M
bge-reranker-v2-m3
twitter-roberta-base-sentiment-latest
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
bge-reranker-v2-m3 · fp16
3.1 GB / 24 GB
Adjacent comparisons
bge-reranker-v2-m3 vs Bangla-twoclass-Sentiment-Analyzer
bge-reranker-v2-m3 vs bge-reranker-base
bge-reranker-v2-m3 vs roberta-base-go_emotions
bge-reranker-v2-m3 vs Prompt-Guard-86M
bge-reranker-v2-m3 vs fasttext-language-identification
twitter-roberta-base-sentiment-latest vs roberta-base-go_emotions