Marvinmw/13b_reasoner

Welcome to the repository of Marvinmw/13b_reasoner, a custom 13-billion parameter model built upon the Llama 2 architecture, tailored for reasoning and code analysis, especially in the domain of smart contract audits.

Model Description

Marvinmw/13b_reasoner is based on the powerful Llama 2 model and has been fine-tuned with a significant dataset from Solodit and Code4rena. This includes over 10,000 findings from smart contract audits, making it uniquely suited for reasoning over complex smart contract code and security vulnerabilities.

Features

• Base Model: Llama 2, known for its robust handling of language and code.
• Fine-tuning Dataset: Over 10,000 smart contract audit findings from platforms such as Solodit and Code4rena.
• Use Case: Designed primarily for developers, auditors, and researchers engaged in the security analysis of blockchain technologies and smart contracts.

Getting Started

To use Marvinmw/13b_reasoner, follow these steps:

Prerequisites

• Python 3.8 or newer
• pip or conda

Installation

Install the necessary packages using pip:

pip install -r requirements.txt

Usage

You can load and use the model as follows:

from transformers import AutoModel, AutoTokenizer

model = AutoModel.from_pretrained("MetaTrustSig/13b_reasoner")
tokenizer = AutoTokenizer.from_pretrained("MetaTrustSig/13b_reasoner")

# Example usage
text = "Insert your smart contract code or query here"
inputs = tokenizer(text, return_tensors="pt")
outputs = model(**inputs)

Contributing

Contributions to Marvinmw/13b_reasoner are welcome! Here's how you can contribute:

1. Issues: For bugs or feature requests, open an issue.
2. Pull Requests: Submit a PR to contribute with code changes or documentation updates.

Please see CONTRIBUTING.md for more details on our code of conduct and the process for submitting pull requests to us.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

• Thanks to the Llama 2 team for the base model.
• Solodit and Code4rena for providing the dataset for fine-tuning.

Contact

For any further questions or partnership inquiries, please contact us via email at [info@metatrust.io].

Additional Information

• Model Performance Metrics: If available, include details about the model's performance metrics and benchmarks.
• Updates and Maintenance: Information about how the model will be updated and maintained.

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We hope you find Marvinmw/13b_reasoner useful for your smart contract security needs. Enjoy using it!