twitter-xlm-roberta-base-sentiment vs Qwen2.5-1.5B-apeach

Specs, VRAM requirements and download trends — updated 6 August 2026.

cardiffnlp · A
Params
Context
512
30d
932 K
jason9693 · B
Params
1.5 B
Context
131,072
30d
431 K

Specification comparison

Differences are highlighted; identical values are muted.

Specification twitter-xlm-roberta-base-sentiment Qwen2.5-1.5B-apeach
Parameters 1.5 B
Architecture XLMRobertaForSequenceClassification Qwen2ForSequenceClassification
Context length 512 131,072
Licence
Commercial use Unknown Unknown
Languages 1
Downloads 30d 932,287 431,391
Downloads all time 53.8 M 3.4 M
Quantizations on the Hub SAFETENSORS
Gated No No
First seen on the Hub 2022-03-02 2024-10-24

Download trend

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

981 K412 K
twitter-xlm-roberta-base-sentiment 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
✅ Runs comfortably

Adjacent comparisons