RADAR-Vicuna-7B vs Qwen2.5-1.5B-apeach

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

TrustSafeAI · A
Params
Context
512
30d
1.0 M
jason9693 · B
Params
1.5 B
Context
131,072
30d
431 K

Specification comparison

Differences are highlighted; identical values are muted.

Specification RADAR-Vicuna-7B Qwen2.5-1.5B-apeach
Parameters 1.5 B
Architecture RobertaForSequenceClassification Qwen2ForSequenceClassification
Context length 512 131,072
Licence
Commercial use Unknown Unknown
Languages
Downloads 30d 1,021,915 431,391
Downloads all time 8.2 M 3.4 M
Quantizations on the Hub SAFETENSORS
Gated No No
First seen on the Hub 2023-06-24 2024-10-24

Download trend

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

1.1 M412 K
RADAR-Vicuna-7B 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