twitter-roberta-base-sentiment-latest vs Qwen2.5-Math-PRM-7B
Specs, VRAM requirements and download trends — updated 24 October 2026.
cardiffnlp · A · 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 | twitter-roberta-base-sentiment-latest | Qwen2.5-Math-PRM-7B |
|---|---|---|
| Parameters | — | 7.6 B |
| Architecture | RobertaForSequenceClassification | Qwen2ForProcessRewardModel |
| Context length | 512 | 4,096 |
| Licence | cc-by-4.0 | other |
| Commercial use | Allowed | Unknown |
| Languages | 1 | 2 |
| Downloads 30d | 2,357,197 | 719,260 |
| Downloads all time | 330.7 M | 2.4 M |
| Quantizations on the Hub | — | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2022-03-15 | 2025-01-13 |
Download trend
Daily snapshots, last 89 days (28 Jul – 24 Oct)
3.3 M221 K
twitter-roberta-base-sentiment-latest
Qwen2.5-Math-PRM-7B
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Qwen2.5-Math-PRM-7B · fp16
18.4 GB / 24 GB
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