---
library_name: transformers
tags:
- vidore
model-index:
- name: colphi3.5
  results: []
datasets:
- vidore/colpali_train_set
base_model:
- microsoft/Phi-3.5-vision-instruct
pipeline_tag: feature-extraction
license: mit
---

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# ColPhi3.5

This model was trained from scratch on the data_dir/colpali_train_set dataset.

## Model description

ColPhi3.5 is a model based on a novel model architecture and training strategy based on Vision Language Models (VLMs) to efficiently index documents from their visual features. 
It is a Phi3.5-V-4B extension that generates ColBERT- style multi-vector representations of text and images. 
It was introduced in the paper ColPali: Efficient Document Retrieval with Vision Language Models.

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed