Qwen2.5-VL-7B-Instruct vs Qwen3.8-27B-AP-GGUF
Specs, VRAM requirements and download trends — updated 1 November 2026.
Qwen · A · Open weights
Params
8.3 B
Context
128,000
30d
6.0 M
apache-2.0 · commercial OK
agentionai · B · Open weights
Params
27.0 B
Context
—
30d
923 K
apache-2.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Qwen2.5-VL-7B-Instruct | Qwen3.8-27B-AP-GGUF |
|---|---|---|
| Parameters | 8.3 B | 27.0 B |
| Architecture | Qwen2_5_VLForConditionalGeneration | — |
| Context length | 128,000 | — |
| Licence | apache-2.0 | apache-2.0 |
| Commercial use | Allowed | Allowed |
| Languages | 1 | — |
| Downloads 30d | 5,980,572 | 923,030 |
| Downloads all time | 110.1 M | 1.3 M |
| Quantizations on the Hub | SAFETENSORS | GGUF |
| Gated | No | No |
| First seen on the Hub | 2025-01-26 | 2026-09-22 |
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
9.6 M886 K
Qwen2.5-VL-7B-Instruct
Qwen3.8-27B-AP-GGUF
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Qwen3.8-27B-AP-GGUF · Q4_K_M
22.7 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