Qwen / image-text-to-text updated 1 year ago

Qwen2.5-VL-7B-Instruct-AWQ

Name: Qwen2.5-VL-7B-Instruct-AWQ
Author: Qwen

In the past five months since Qwen2-VL’s release, numerous developers have built new models on the Qwen2-VL vision-language models, providing us with valuable feedback. During this period, we focused on building more useful vision-language models. Today, we are excited to introduce the latest addition to the Qwen family: Qwen2.5-VL.

Params

8.3 B

Context

128,000

Downloads 30d

2.0 M

Likes

105

Commercial use: allowed apache-2.0 Not gated SAFETENSORS 1 languages View on Hugging Face ↗

Download history

daily snapshots · 10 days

2.7 M2.0 M

Jul 28Jul 31Aug 3Aug 6

Can you run it?

Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.

File	Quant	Size	Est. VRAM	Verdict on RTX 4090 · 24 GB
model.safetensors	i32	6.9 GB	9.4 GB	✅ Runs comfortably
model.safetensors (bf16, full)	bf16 + 125K ctx	6.9 GB	27.5 GB	❌ Won’t fit

Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.

Specifications

Architecture: Qwen2_5_VLForConditionalGeneration
Parameters: 8.3 B
Tensor type: I32
Context length: 128,000
Vocabulary: 152,064
Layers / heads: 28 / 28
Licence: apache-2.0
First seen on the Hub: 2025-02-15
Base model: Qwen2.5-VL-7B-Instruct
Training datasets: undisclosed
Added to our catalog: 2026-07-28

Family

Base model and the most-downloaded derivatives in the catalog.

Base Qwen2.5-VL-7B-Instruct Qwen 9.3 M

Compare with

Qwen3.5-9B 12.4 M gemma-4-26B-A4B-it 11.7 M Qwen2.5-VL-7B-Instruct 9.3 M Qwen2.5-VL-3B-Instruct 8.2 M Qwen3.5-4B 6.7 M Qwen3-VL-8B-Instruct 4.9 M

Appears in

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