Qwen2-VL-2B-Instruct
We're excited to unveil Qwen2-VL, the latest iteration of our Qwen-VL model, representing nearly a year of innovation.
Params
2.2 B
Context
32,768
Downloads 30d
3.0 M
Likes
518
Download history
daily snapshots · 10 days3.1 M3.0 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 | bf16 | 4.4 GB | 5.7 GB | ✅ Runs comfortably |
| model.safetensors (bf16, full) | bf16 + 32K ctx | 4.4 GB | 6.7 GB | ✅ Runs comfortably |
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.
Specifications
- Architecture
- Qwen2VLForConditionalGeneration
- Parameters
- 2.2 B
- Tensor type
- BF16
- Context length
- 32,768
- Vocabulary
- 151,936
- Layers / heads
- 28 / 12
- Licence
- apache-2.0
- First seen on the Hub
- 2024-08-28
- Training datasets
- undisclosed
- Added to our catalog
- 2026-07-28
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