Create README.md

README.md

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+---
+license: llama3
+language:
+- en
+library_name: transformers
+---
+# Cerberus-v0.1 Model Card
+<img scr="https://brahmai.in/cerberus/v0.1/cover.jpg" alt="Cerberus - BRAHMAI">
+## Model Details
+
+- **Model Name:** Cerberus-v0.1
+- **Company:** [BRAHMAI](https://brahmai.in)
+- **Contact:** [[email protected]](mailto:[email protected])
+- **Date Released:** June 2024
+
+## Model Overview
+
+Cerberus-v0.1 is an advanced natural language processing (NLP) model developed by BRAHMAI. It is designed to excel in a variety of NLP tasks including text generation, translation, summarization, and question answering. The model leverages a state-of-the-art transformer architecture, trained on a diverse dataset to ensure robust performance across different domains and languages.
+
+## Intended Use
+
+Cerberus-v0.1 is intended to be used as a versatile tool for:
+- Text generation in creative writing and content creation.
+- Multilingual translation services with high accuracy.
+- Document summarization to extract key information efficiently.
+- Question answering applications for educational and informational purposes.
+
+## Performance Benchmarks
+
+The performance of Cerberus-v0.1 has been evaluated across multiple benchmarks and applications:
+- **Text Generation:** Achieves fluent and contextually relevant outputs suitable for various writing styles.
+- **Translation:** Provides accurate translations between multiple languages, preserving the meaning and tone of the original text.
+- **Summarization:** Generates concise summaries while retaining critical information from longer documents.
+- **Question Answering:** Delivers precise answers to user queries based on context and available information.
+
+## Ethical Considerations
+
+BRAHMAI is committed to responsible AI practices:
+- **Bias Mitigation:** Regular audits and bias detection measures are implemented to minimize biases in model outputs.
+- **Transparency:** Clear documentation, including this model card, aims to provide users with insights into model capabilities and limitations.
+- **User Safety:** Measures are in place to ensure user privacy and data security during model interactions.
+
+## Limitations and Caveats
+
+While Cerberus-v0.1 demonstrates strong performance in various tasks, users should be aware of:
+- **Domain Specificity:** Performance may vary across different domains not extensively covered during training.
+- **Contextual Limitations:** Outputs may not always reflect nuanced cultural or contextual sensitivities.
+
+## Future Directions
+
+Future updates to Cerberus-v0.1 may include:
+- Enhanced multilingual capabilities through additional training on diverse language datasets.
+- Improved fine-tuning mechanisms to adapt to specific user requirements and domains.