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- library_name: transformers
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- tags: []
 
 
 
 
 
 
 
 
 
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- # Model Card for Model ID
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- <!-- Provide a quick summary of what the model is/does. -->
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- ## Model Details
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- ### Model Description
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- <!-- Provide a longer summary of what this model is. -->
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- This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- - **Developed by:** [More Information Needed]
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- - **Funded by [optional]:** [More Information Needed]
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- - **Shared by [optional]:** [More Information Needed]
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- - **Model type:** [More Information Needed]
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- - **Language(s) (NLP):** [More Information Needed]
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- - **License:** [More Information Needed]
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- - **Finetuned from model [optional]:** [More Information Needed]
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- ### Model Sources [optional]
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- <!-- Provide the basic links for the model. -->
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- - **Repository:** [More Information Needed]
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- - **Paper [optional]:** [More Information Needed]
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- - **Demo [optional]:** [More Information Needed]
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- ## Uses
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- <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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- ### Direct Use
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- <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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- [More Information Needed]
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- ### Downstream Use [optional]
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- <!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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- [More Information Needed]
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- ### Out-of-Scope Use
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- <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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- [More Information Needed]
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- ## Bias, Risks, and Limitations
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- <!-- This section is meant to convey both technical and sociotechnical limitations. -->
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- [More Information Needed]
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- ### Recommendations
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- <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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- Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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- ## How to Get Started with the Model
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- Use the code below to get started with the model.
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- [More Information Needed]
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- ## Training Details
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- ### Training Data
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- <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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- [More Information Needed]
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- ### Training Procedure
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- <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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- #### Preprocessing [optional]
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- [More Information Needed]
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- #### Training Hyperparameters
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- - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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- #### Speeds, Sizes, Times [optional]
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- <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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- ## Evaluation
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- <!-- This section describes the evaluation protocols and provides the results. -->
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- ### Testing Data, Factors & Metrics
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- #### Testing Data
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- <!-- This should link to a Dataset Card if possible. -->
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- #### Factors
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- <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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- #### Metrics
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- <!-- These are the evaluation metrics being used, ideally with a description of why. -->
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- ### Results
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- #### Summary
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- ## Model Examination [optional]
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- <!-- Relevant interpretability work for the model goes here -->
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- ## Environmental Impact
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- <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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- Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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- - **Hardware Type:** [More Information Needed]
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- - **Hours used:** [More Information Needed]
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- - **Cloud Provider:** [More Information Needed]
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- - **Carbon Emitted:** [More Information Needed]
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- ## Technical Specifications [optional]
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- ### Model Architecture and Objective
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- ## Citation [optional]
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- ## Glossary [optional]
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- ## More Information [optional]
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- ## Model Card Authors [optional]
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  ---
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+ license: cc-by-nc-sa-4.0
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+ language:
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+ - en
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+ base_model:
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+ - meta-llama/Llama-3.1-8B-Instruct
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+ pipeline_tag: image-text-to-text
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+ tags:
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+ - biology
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+ - healthcare
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+ - medical
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+ - LMM
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  ---
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+ # BiMediX2 : Bio-Medical EXpert LMM for Diverse Medical Modalities
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+ ### BiMediX2-8B-HF English Model (HuggingFace Version)
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+ #### **Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI), UAE**
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+ [![Website](https://img.shields.io/badge/Project-GitHub-87CEEB)](https://github.com/mbzuai-oryx/BiMediX2)
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+ [![Paper](https://img.shields.io/badge/arXiv-Paper-<COLOR>.svg)](https://arxiv.org/abs/2412.07769)
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+ [![License](https://img.shields.io/badge/License-CC%20BY--NC--SA%204.0-lightgrey)](https://github.com/mbzuai-oryx/BiMediX/blob/main/LICENSE.txt)
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+ ## License & Citation
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+ BiMediX2 is released under the CC-BY-NC-SA 4.0 License. For more details, please refer to the [LICENSE](https://github.com/mbzuai-oryx/BiMediX/blob/main/LICENSE.txt) file included in our BiMediX repository.
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+ ⚠️ **Warning! This release, intended for research, is not ready for clinical or commercial use.**
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+ Users are urged to employ BiMediX2 responsibly, especially when applying its outputs in real-world medical scenarios. It is imperative to verify the model's advice with qualified healthcare professionals and not rely on it for medical diagnoses or treatment decisions. Despite the overall advancements BiMediX2 shares common challenges with other language models, including hallucinations, toxicity, and stereotypes. BiMediX2's medical diagnoses and recommendations are not infallible.
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+ If you use BiMediX2 in your research, please cite our work as follows:
 
 
 
 
 
 
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+ ```
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+ @misc{mullappilly2024bimedix2biomedicalexpertlmm,
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+ title={BiMediX2: Bio-Medical EXpert LMM for Diverse Medical Modalities},
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+ author={Sahal Shaji Mullappilly and Mohammed Irfan Kurpath and Sara Pieri and Saeed Yahya Alseiari and Shanavas Cholakkal and Khaled Aldahmani and Fahad Khan and Rao Anwer and Salman Khan and Timothy Baldwin and Hisham Cholakkal},
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+ year={2024},
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+ eprint={2412.07769},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CV},
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+ url={https://arxiv.org/abs/2412.07769},
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+ }
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+ ```
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+ ---