Update README.md

README.md

@@ -20,12 +20,12 @@ tags:
 - text-generation-inference
 ---
 
-**Model Card for the Code Generation Model**
+## **Model Card for RabbitRedux**
 
 **Model Details**
 
-- **Model Name**: CodeGen-Enhanced
-- **Model ID**: codegen-enhanced-v1
+- **Model Name**: RabbitRedux
+- **Model ID**: rabbitredux-v1
 - **License**: MIT
 - **Base Models**:
   - replit/replit-code-v1_5-3b
@@ -34,18 +34,18 @@ tags:
 
 **Model Description**
 
-CodeGen-Enhanced is a state-of-the-art code generation model designed to assist developers by generating code snippets, completing code blocks, and providing code-related suggestions. It leverages advanced architectures, including Replit's Code v1.5 and WhiteRabbitNeo's Llama series, to deliver high-quality code generation across multiple programming languages.
+RabbitRedux is a cutting-edge code generation model designed to assist developers by generating code snippets, completing code blocks, and providing context-aware suggestions. It combines advanced AI architectures from Replit’s Code v1.5 and WhiteRabbitNeo's Llama series to produce high-quality code generation across multiple programming languages.
 
 **Training Data**
 
-The model was trained on a diverse dataset comprising:
+The model was trained using a diverse set of datasets sourced from Canstralian’s repositories, including:
 
-- **Wordlists**: A comprehensive collection of programming language keywords and syntax.
-- **CyberExploitDB**: A curated database of cybersecurity exploits and related code snippets.
-- **Pentesting Dataset**: A compilation of penetration testing scripts and tools.
-- **Shell Commands**: A repository of Unix/Linux shell commands and scripts.
+- **Wordlists**: A rich collection of programming language keywords, syntax, and coding patterns.
+- **CyberExploitDB**: A database of cybersecurity exploits and related code examples.
+- **Pentesting Dataset**: A collection of penetration testing scripts and tools.
+- **Shell Commands**: A repository of common Unix/Linux shell commands and scripts.
 
-These datasets were sourced from Canstralian's repositories:
+These datasets were sourced from the following Canstralian repositories:
 
 - Canstralian/Wordlists
 - Canstralian/CyberExploitDB
@@ -54,48 +54,51 @@ These datasets were sourced from Canstralian's repositories:
 
 **Intended Use**
 
-CodeGen-Enhanced is intended for:
+RabbitRedux is designed for:
 
-- **Code Completion**: Assisting developers by suggesting code completions in real-time.
-- **Code Generation**: Creating boilerplate code or entire functions based on user prompts.
-- **Educational Purposes**: Serving as a learning tool for understanding coding patterns and best practices.
+- **Code Completion**: Helping developers by suggesting code completions in real time.
+- **Code Generation**: Creating boilerplate code or entire functions based on user inputs.
+- **Educational Use**: Serving as a learning tool for exploring coding patterns and best practices.
 
 **Performance Metrics**
 
-The model's performance was evaluated using the following metrics:
+RabbitRedux’s performance is evaluated using the following metrics:
 
-- **Accuracy**: Measures the correctness of the generated code snippets.
-- **Code Evaluation**: Assesses the functionality and efficiency of the generated code through execution tests.
+- **Accuracy**: Measures the correctness of generated code snippets.
+- **Code Evaluation**: Assesses the functionality and efficiency of generated code by executing it.
 
 **Ethical Considerations**
 
-While CodeGen-Enhanced aims to provide accurate and helpful code suggestions, users should:
+RabbitRedux is intended to provide accurate and helpful code suggestions. However, users should:
 
-- **Verify Generated Code**: Always review and test generated code to ensure it meets security and performance standards.
-- **Avoid Sensitive Data**: Do not input sensitive or proprietary information into the model to prevent potential data leakage.
+- **Review Generated Code**: Always validate and test generated code to ensure it meets security and performance standards.
+- **Avoid Sensitive Inputs**: Do not input sensitive or proprietary information into the model to prevent data leakage.
 
 **Limitations**
 
-CodeGen-Enhanced may:
+While RabbitRedux is highly capable, it may:
 
-- **Produce Inaccurate Code**: Occasionally generate code with errors or inefficiencies.
-- **Lack Context**: May not fully understand the broader context of a project, leading to less relevant suggestions.
+- **Generate Inaccurate Code**: Occasionally produce code with errors or inefficiencies.
+- **Lack Contextual Awareness**: It may not fully understand the broader context of a project, leading to less relevant suggestions.
 
 **Future Improvements**
 
-Plans for future enhancements include:
+Future updates will include:
 
-- **Expanded Language Support**: Incorporating additional programming languages to broaden usability.
-- **Contextual Understanding**: Improving the model's ability to comprehend and generate context-aware code snippets.
+- **Expanded Language Support**: Adding support for more programming languages.
+- **Improved Contextual Understanding**: Enhancing the model's ability to generate context-aware code.
 
 **Acknowledgments**
 
-We acknowledge the contributions of the Canstralian community for providing the datasets used in training and the open-source community for developing the base models.
+We would like to thank the Canstralian community for their contributions of datasets used in training, and the open-source community for the development of the base models.
 
 **References**
 
 - [Replit Code v1.5 Model Card](https://huggingface.co/replit/replit-code-v1_5-3b)
-- [WhiteRabbitNeo Llama-3.1 Model Card](https://huggingface.co/WhiteRabbitNeo/Llama-3.1-WhiteRabbitNeo-2-8B)
+- [WhiteRabbitNeo Llama-3.1 Model Cards](https://huggingface.co/WhiteRabbitNeo/Llama-3.1-WhiteRabbitNeo-2-8B)
 - [Canstralian GitHub Repositories](https://github.com/canstralian)
 
-This model card provides a comprehensive overview of the CodeGen-Enhanced model, its capabilities, and considerations for its use. 
+This model card provides an overview of RabbitRedux, detailing its capabilities, performance, and considerations for usage.
+
+
+