Image-to-Text
PEFT
Safetensors
medical-imaging
chest-xray
dermoscopy
vision-language
fairness
lora
mimic-cxr
padchest
ham10000
Instructions to use mbhosale/FairLLaVA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mbhosale/FairLLaVA with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
Top-level README
Browse files
README.md
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---
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license: apache-2.0
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tags: [medical-imaging, fairness, lora]
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---
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# FairLLaVA — Pretrained Checkpoints
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Fairness-aware LoRA adapters for medical vision–language models, from the
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[FairLLaVA paper](https://arxiv.org/abs/2603.26008).
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Code: https://github.com/bhosalems/FairLLaVA
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| Subdir | Dataset | Base LLM | Vision Tower |
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|---|---|---|---|
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| [`mimic-cxr/`](./mimic-cxr) | MIMIC-CXR | `lmsys/vicuna-7b-v1.5` | BiomedCLIP-CXR-518 |
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| [`padchest/`](./padchest) | PadChest | `lmsys/vicuna-7b-v1.5` | BiomedCLIP-CXR-518 |
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| [`ham10000/`](./ham10000) | HAM10000 | `liuhaotian/llava-v1.5-7b` | CLIP ViT-L/14-336 |
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