InternVL2-2B
[\[π GitHub\]](https://github.com/OpenGVLab/InternVL) [\[π InternVL 1.0\]](https://huggingface.co/papers/2312.14238) [\[π InternVL 1.5\]](https://huggingface.co/papers/2404.16821) [\[π Mini-InternVL\]](https://arxiv.org/abs/2410.16261) [\[π InternVL 2.5\]](https://huggingface.co/papers/2412.05271)
Params
2.2 B
Context
β
Downloads 30d
1.5 M
Likes
81
Download history
daily snapshots Β· 10 days1.5 M1.4 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 Β· 24 GB |
|---|---|---|---|---|
| model.safetensors | bf16 | 4.4 GB | 5.7 GB | β Runs comfortably |
Estimate: file size Γ 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark β how we calculate this.
Specifications
- Architecture
- InternVLChatModel
- Parameters
- 2.2 B
- Tensor type
- BF16
- Licence
- mit
- First seen on the Hub
- 2024-06-27
- Training datasets
- undisclosed
- Added to our catalog
- 2026-07-28
Compare with
Sponsored Β· GPU cloud
Not enough VRAM?
Spin up a 24 GB L4 instance in 40 seconds. $0.44/hr.