OpenGVLab / image-text-to-text Open weights updated 1 year ago

InternVL2-1B

[\[πŸ“‚ GitHub\]](https://github.com/OpenGVLab/InternVL) [\[πŸ“œ InternVL 1.0\]](https://huggingface.co/papers/2312.14238) [\[πŸ“œ InternVL 1.5\]](https://huggingface.co/papers/2404.16821) [\[πŸ“œ Mini-InternVL\]](https://arxiv.org/abs/2410.16261) [\[πŸ“œ InternVL 2.5\]](https://huggingface.co/papers/2412.05271)

Params
940 M
Context
β€”
Downloads 30d
964 K
Likes
84
Commercial use: allowed mit Not gated SAFETENSORS 1 languages View on Hugging Face β†—

Download history

daily snapshots Β· 102 days
β–² 140 K in the last 30 days (17.0%)
964 K812 K
Aug 1Sep 4Oct 8Nov 10

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 Β· 24 GB
model.safetensors bf16 1.9 GB 2.7 GB βœ… 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
940 M
Tensor type
BF16
Licence
mit
First seen on the Hub
2024-07-08
Training datasets
undisclosed
Added to our catalog
2026-08-01
Compare with any image-text-to-text model