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-license: wtfpl
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+license: wtfpl
+---
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+##Model Card for ZEUS##
+
+##License: Do What The F\*ck You Want To Public License##
+
+##Model Description:
+
+ZEUS is a novel AI model designed to handle a wide range of problems. It is a hybrid model that combines the strengths of various architectures, including transformer-based models, convolutional neural networks, and recursive neural networks. ZEUS is capable of processing multiple input modalities, including text, images, and audio.
+
+##Developed by: Morgan Griffin, WongrifferousAI and Wonder-Griffin
+
+##Shared by: WongrifferousAI and Wonder-Griffin
+
+##Model type: Hybrid model (transformer-based, CNN, RNN)
+
+##Language(s) (NLP): English (primary), multilingual support planned
+
+##License: Do What The F\*ck You Want To Public License
+
+##Repository: https://github.com/wongrifferousAI/ZEUS
+
+##Uses:
+
+##Direct Use:
+
+ZEUS can be used as a general-purpose AI model for a wide range of applications, including but not limited to:
+*Natural Language Processing (NLP)
+*Computer Vision
+*Speech Recognition
+*Multimodal Learning
+##Downstream Use:
+
+ZEUS can be fine-tuned for specific tasks, such as:
+*Sentiment Analysis
+*Image Classification
+*Speech-to-Text
+*Multimodal Fusion
+##Out-of-Scope Use:
+
+ZEUS is not intended for use in applications that require:
+*Real-time processing (due to its complex architecture)
+*Extremely large input sizes (due to memory constraints)
+*Bias, Risks, and Limitations:
+
+ZEUS may exhibit biases present in its training data, particularly in NLP tasks.
+The model's performance may degrade when faced with out-of-distribution inputs or tasks.
+ZEUS requires significant computational resources and memory, which may limit its deployment in certain environments.
+##Recommendations:
+
+Users should carefully evaluate ZEUS's performance on their specific task and dataset before deployment.
+Users should be aware of the potential biases and limitations of the model and take steps to mitigate them.
+How to Get Started with the Model:
+
+##Clone the ZEUS repository: git clone https://github.com/wongrifferousAI/ZEUS.git
+Install the required dependencies: pip install -r requirements.txt
+Load the pre-trained model: model = ZeusModel(vocab_size=50000, embed_dim=512, image_dim=256, audio_dim=128, num_heads=12, reflection_dim=512, num_experts=4)
+Fine-tune the model on your specific task and dataset.
+##Training Details:
+
+##Training Hyperparameters:
+*Batch size: 32
+*Number of epochs: 10
+*Learning rate: 1e-4
+*Optimizer: Adam
+*Training Regime: [Not Applicable]
+
+##Model Architecture: Hybrid model (transformer-based, CNN, RNN)##
+
+##For more information, please visit the ZEUS repository: https://github.com/wongrifferousAI/ZEUS##
+##Model Card Authors:
+
+***Morgan Griffin, WongrifferousAI and Wonder-Griffin***