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library_name: pytorch
tags:
- pathology
- vision-language
- whole-slide-imaging
- report-generation
- ablation
---
# SlideFlame
This repository contains ablated variants of SlideFlame models for pathology
whole-slide image report generation.
SlideFlame is a slide-level vision-language model based on a Flamingo-style
architecture. It combines patch-level and slide-level visual features with a
language model to generate pathology reports from whole-slide image features.
The full project code is available on [GitHub](https://github.com/KatherLab/SlideFlame), while only the model weights
are hosted here on Hugging Face.
## Model Weights
The checkpoint files are stored in the `weights/` directory:
| Variant | File |
| --- | --- |
| SlideFlame-GWI | `weights/slideflame-GWI.pt` |
| SlideFlame-GZI | `weights/slideflame-GZI.pt` |
| SlideFlame-LWI | `weights/slideflame-LWI.pt` |
| SlideFlame-LZI | `weights/slideflame-LZI.pt` |
## Variant Names
- `SlideFlame-GWI`: Global warm initialization variant
- `SlideFlame-GZI`: Global zero initialization variant
- `SlideFlame-LWI`: Local warm initialization variant
- `SlideFlame-LZI`: Local zero initialization variant
## Checksums
SHA-256 checksums are provided in `checksums.txt`.
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