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visual document retrieval

colpali-v1.3-hf

colpali-v1.3-hf is an open-source visual-document-retrieval model available on HuggingFace. Details are sourced from the public model registry.

Last reviewed

Use cases

  • Building visual-document-retrieval applications
  • Research and experimentation
  • Open-source AI prototyping

Pros

  • Open weights available
  • Community support on HuggingFace

Cons

  • Requires manual evaluation for production use
  • Licensing terms vary — check model card

When does colpali-v1.3-hf fit?

Picking a visual document retrieval model means matching colpali-v1.3-hf's declared task to your specific input distribution. Public benchmarks rarely predict downstream behaviour, so treat colpali-v1.3-hf's reported numbers as a starting point, not a verdict.

  • You're picking a visual document retrieval model for production → colpali-v1.3-hf is a candidate, but always validate against your own evaluation set before committing — public benchmarks rarely predict downstream task performance.

Real-world usage signals

26 likes from 316,956 downloads suggests colpali-v1.3-hf is mostly being tried, not adopted. Common for newer releases or pipeline-specific tools that have a narrow target audience.

15 tags — colpali-v1.3-hf is positioned for a specific bundle of related tasks. Likely a strong fit for the named use cases and weaker outside them.

Publisher information is incomplete on the model card. Cross-reference colpali-v1.3-hf against the GitHub repo or paper before treating provenance as established.

How we look at visual document retrieval models

colpali-v1.3-hf has crossed the threshold from "experiment" to "actively-used" on HuggingFace. The community has enough hands-on experience that you can find real deployment reports, but not so much that colpali-v1.3-hf is a default choice in this category.

Download count alone is a thin signal — it conflates "people trying it" with "people running it in production." For colpali-v1.3-hf specifically: 316,956 downloads — solid usage, but you may need to read source code rather than tutorials when something goes wrong. Pair that with the engagement read above, the date of the most recent issue activity, and a 30-minute trial run on your own evaluation set before deciding whether colpali-v1.3-hf earns a place in your stack.

Frequently asked questions

Is colpali-v1.3-hf actively maintained?

316,956 downloads — solid usage, but you may need to read source code rather than tutorials when something goes wrong.

What should I check before depending on colpali-v1.3-hf in production?

Three things: (1) the license text — assume nothing from the tag alone; (2) the most recent issues on the HuggingFace repo to gauge how the maintainers respond to bug reports; (3) reproducibility — run the model card's stated benchmark on your own hardware and confirm the numbers match within 1-2%. Discrepancies usually mean different precision or a tokenizer version mismatch.

Tags

transformerssafetensorscolpalipretrainingvisual-document-retrievalendataset:vidore/colpali_train_setarxiv:2004.12832arxiv:2407.01449arxiv:2106.09685base_model:vidore/colpaligemma-3b-pt-448-basebase_model:finetune:vidore/colpaligemma-3b-pt-448-baselicense:gemmaendpoints_compatibleregion:us