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

Qwen2-VL-7B-Instruct

We're excited to unveil Qwen2-VL, the latest iteration of our Qwen-VL model, representing nearly a year of innovation.

Params
8.3 B
Context
32,768
Downloads 30d
1.5 M
Likes
1,284
Commercial use: allowed apache-2.0 Not gated SAFETENSORS 1 languages View on Hugging Face ↗

Download history

daily snapshots · 10 days
1.6 M1.5 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.

FileQuantSizeEst. VRAMVerdict on RTX 4090 · 24 GB
model.safetensors bf16 16.6 GB 20.0 GB ⚠️ Tight — reduce context
model.safetensors (bf16, full) bf16 + 32K ctx 16.6 GB 23.7 GB ⚠️ Tight — reduce context
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.

Specifications

Architecture
Qwen2VLForConditionalGeneration
Parameters
8.3 B
Tensor type
BF16
Context length
32,768
Vocabulary
152,064
Layers / heads
28 / 28
Licence
apache-2.0
First seen on the Hub
2024-08-28
Training datasets
undisclosed
Added to our catalog
2026-07-28

Family

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

Derivative Qwen2-VL-7B-Instruct-AWQ Qwen 1.8 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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