Qwen2.5-VL-7B-Instruct vs chandra-ocr-2
Specs, VRAM requirements and download trends — updated 10 November 2026.
Qwen · A · Open weights
Params
8.3 B
Context
128,000
30d
6.0 M
apache-2.0 · commercial OK
datalab-to · B · Open weights
Params
5.3 B
Context
—
30d
1.4 M
openrail licence · conditional
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Qwen2.5-VL-7B-Instruct | chandra-ocr-2 |
|---|---|---|
| Parameters | 8.3 B | 5.3 B |
| Architecture | Qwen2_5_VLForConditionalGeneration | Qwen3_5ForConditionalGeneration |
| Context length | 128,000 | — |
| Licence | apache-2.0 | openrail |
| Commercial use | Allowed | Conditional |
| Languages | 1 | — |
| Downloads 30d | 5,980,572 | 1,387,634 |
| Downloads all time | 110.1 M | 14.2 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 90 days (13 Aug – 10 Nov)
9.6 M1.3 M
Qwen2.5-VL-7B-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
Qwen2.5-VL-7B-Instruct · fp16 @ 125K ctx
38.2 GB / 24 GB
Adjacent comparisons
Qwen2.5-VL-7B-Instruct vs Qwen3-VL-8B-Instruct
Qwen3.5-9B vs Qwen2.5-VL-7B-Instruct
Qwen2.5-VL-7B-Instruct vs Qwen3.8-27B-iMatrix-NVFP4-MTP-GGUF
Qwen2.5-VL-7B-Instruct vs Qwen3.5-4B
Qwen2.5-VL-7B-Instruct vs Qwen3.8-27B-MLX-8bit
Qwen2.5-VL-7B-Instruct vs Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUF