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---
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
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# 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
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