twitter-roberta-base-sentiment-latest vs Qwen2.5-1.5B-apeach
Specs, VRAM requirements and download trends — updated 10 November 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 | Qwen2.5-1.5B-apeach |
|---|---|---|
| Parameters | — | 1.5 B |
| Architecture | RobertaForSequenceClassification | Qwen2ForSequenceClassification |
| Context length | 512 | 131,072 |
| Licence | cc-by-4.0 | — |
| Commercial use | Allowed | Unknown |
| Languages | 1 | — |
| Downloads 30d | 2,413,051 | 251,255 |
| Downloads all time | 332.1 M | 3.5 M |
| Quantizations on the Hub | — | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2022-03-15 | 2024-10-24 |
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
3.3 M251 K
twitter-roberta-base-sentiment-latest
Qwen2.5-1.5B-apeach
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Qwen2.5-1.5B-apeach · fp16 @ 128K ctx
11.0 GB / 24 GB
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