visual-document-retrieval

vidore/colSmol-500M

vidore/colSmol-500M is a visual document retrieval model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

View on Hugging Face ↗Add to comparison

ParametersUnknown

Downloads209,930

Likes22

Licensemit

Librarycolpali

Hardware tierConsumer

DEPLOYMENT NOTES

What to verify before deployment

Confirm the exact weight format and quantization.
Measure memory at your intended context or image size.
Review model-card limitations and evaluation methodology.
Test latency and throughput on your target runtime.

LICENSE SIGNAL

Likely commercial-friendly

License metadata is an index signal, not legal advice. Follow the repository license and any model-specific acceptable-use terms.

Verify at the source →

RUN THIS MODEL

Choose how you want to deploy

GPU CLOUD · SIMPLE START

Rent a GPU sized for this model

Start with at least 12 GB VRAM, then measure memory and latency with your workload.

Check RunPod availability ↗Referral link. AI Pentium may earn credits or commission from qualifying new users.

GPU MARKETPLACE · PRICE SHOP

Compare marketplace GPU offers

Filter Vast.ai offers for a GPU with at least 12 GB VRAM and compare availability by region.

Compare GPUs on Vast.ai ↗Referral link. AI Pentium may earn commission from qualifying new users.

ORIGINAL SOURCE

Inspect weights and model card

Verify files, license terms, limitations and usage instructions before deploying.

View on Hugging Face ↗Source link; AI Pentium does not host model weights.

SIMILAR OPTIONS

More visual-document-retrieval models

visual-document-retrieval

vidore/colqwen2-v1.0

vidore/colqwen2-v1.0 is a visual document retrieval model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 423,051♡ 121

Unknown8 GB+ VRAMapache-2.0

Deployment details →

visual-document-retrieval

ModernVBERT/colmodernvbert

ModernVBERT/colmodernvbert is a visual document retrieval model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 248,469♡ 36

Unknown8 GB+ VRAMmit

Deployment details →

visual-document-retrieval

vidore/colqwen2.5-v0.2

vidore/colqwen2.5-v0.2 is a visual document retrieval model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

↓ 238,273♡ 100

Unknown8 GB+ VRAMmit

Deployment details →

visual-document-retrieval