Qwen2.5-VL-3B-Instruct vs chandra-ocr-2

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

Qwen · A
Params
3.8 B
Context
128,000
30d
8.2 M
datalab-to · B
Params
5.3 B
Context
30d
3.2 M
openrail licence · conditional

Specification comparison

Differences are highlighted; identical values are muted.

Specification Qwen2.5-VL-3B-Instruct chandra-ocr-2
Parameters 3.8 B 5.3 B
Architecture Qwen2_5_VLForConditionalGeneration Qwen3_5ForConditionalGeneration
Context length 128,000
Licence openrail
Commercial use Unknown Conditional
Languages 1
Downloads 30d 8,170,451 3,165,017
Downloads all time 97.0 M 7.3 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2025-01-26 2026-03-16

Download trend

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

8.2 M2.9 M
Qwen2.5-VL-3B-Instruct chandra-ocr-2

VRAM side by side

On RTX 4090 · 24 GB · 8K context unless noted

chandra-ocr-2 · fp16 12.9 GB / 24 GB
✅ Runs comfortably
Qwen2.5-VL-3B-Instruct · fp16 @ 125K ctx 17.5 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons