Qwen2.5-VL-7B-Instruct-AWQ vs Qwen3.8-27B-iMatrix-NVFP4-MTP-GGUF
Specs, VRAM requirements and download trends — updated 10 November 2026.
Qwen · A · Open weights
Params
8.3 B
Context
128,000
30d
1.3 M
apache-2.0 · commercial OK
cdiamond · B · Open weights
Params
—
Context
—
30d
3.3 M
apache-2.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | Qwen2.5-VL-7B-Instruct-AWQ | Qwen3.8-27B-iMatrix-NVFP4-MTP-GGUF |
|---|---|---|
| Parameters | 8.3 B | — |
| Architecture | Qwen2_5_VLForConditionalGeneration | — |
| Context length | 128,000 | — |
| Licence | apache-2.0 | apache-2.0 |
| Commercial use | Allowed | Allowed |
| Languages | 1 | — |
| Downloads 30d | 1,324,897 | 3,260,065 |
| Downloads all time | 15.8 M | 9.6 M |
| Quantizations on the Hub | SAFETENSORS | GGUF |
| Gated | No | No |
| First seen on the Hub | 2025-02-15 | 2026-08-17 |
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
5.0 M1.0 M
Qwen2.5-VL-7B-Instruct-AWQ
Qwen3.8-27B-iMatrix-NVFP4-MTP-GGUF
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
Qwen2.5-VL-7B-Instruct-AWQ · fp16 @ 125K ctx
27.5 GB / 24 GB
Adjacent comparisons
Florence-2-base vs Qwen3.8-27B-iMatrix-NVFP4-MTP-GGUF
Qwen3.8-27B vs Qwen3.8-27B-iMatrix-NVFP4-MTP-GGUF
Qwen3-VL-8B-Instruct vs Qwen3.8-27B-iMatrix-NVFP4-MTP-GGUF
gemma-4-31B-it vs Qwen3.8-27B-iMatrix-NVFP4-MTP-GGUF
Qwen3.8-27B-iMatrix-NVFP4-MTP-GGUF vs Qwen3.8-Flash-Next-GSQ-RCO-GGUF
Qwen3.8-27B-iMatrix-NVFP4-MTP-GGUF vs GLM-5.3-Flash