| | ---
|
| | license: apache-2.0
|
| | language:
|
| | - zho
|
| | - eng
|
| | - fra
|
| | - spa
|
| | - por
|
| | - deu
|
| | - ita
|
| | - rus
|
| | - jpn
|
| | - kor
|
| | - vie
|
| | - tha
|
| | - ara
|
| | base_model:
|
| | - Qwen/Qwen2.5-32B
|
| | pipeline_tag: text-generation
|
| | library_name: transformers
|
| | tags:
|
| | - Bifröst
|
| | - Bifrost
|
| | - code
|
| | - reasoning
|
| | inference:
|
| | parameters:
|
| | temperature: 0
|
| | widget:
|
| | - messages:
|
| | - role: user
|
| | content: Generate secure production code for [task] in python with proper input
|
| | validation, current cryptographic standards, least privilege principles, comprehensive
|
| | error handling, secure logging, and defense-in-depth. Include security-focused
|
| | comments and explain critical security decisions. Follow OWASP/NIST standards.
|
| | ---
|
| |
|
| | ## Bifröst-R1-32B (Reasoning)
|
| |
|
| | 
|
| |
|
| | Bifröst-R1-32B (Reasoning) is an advanced AI model built upon qwen2 architecture, specifically fine-tuned for secure and efficient enterprise-grade code generation with reasoning. Designed to meet rigorous standards of safety, accuracy, and reliability, Bifröst empowers organizations to streamline software development workflows while prioritizing security and compliance.
|
| |
|
| | ### Model Details
|
| | - **Model Name:** Bifröst-R1-32B
|
| | - **Base Architecture:** qwen2
|
| | - **Application:** Enterprise Secure Code Generation
|
| | - **Release Date:** 08-March-2025
|
| |
|
| | ### Intended Use
|
| | Bifröst is designed explicitly for:
|
| | - Generating secure, efficient, and high-quality code.
|
| | - Supporting development tasks within regulated enterprise environments.
|
| | - Enhancing productivity by automating routine coding tasks without compromising security.
|
| |
|
| | ### Features
|
| | - **Security-Focused Training:** Specialized training regimen emphasizing secure coding practices, vulnerability reduction, and adherence to security standards.
|
| | - **Enterprise-Optimized Performance:** Tailored to support various programming languages and enterprise frameworks with robust, context-aware suggestions.
|
| | - **Compliance-Driven Design:** Incorporates features to aid in maintaining compliance with industry-specific standards (e.g., GDPR, HIPAA, SOC 2).
|
| |
|
| | ### Limitations
|
| | - Bifröst should be used under human supervision to ensure code correctness and security compliance.
|
| | - Model-generated code should undergo appropriate security and quality assurance checks before deployment.
|
| |
|
| | ### Ethical Considerations
|
| | - Users are encouraged to perform regular audits and compliance checks on generated outputs.
|
| | - Enterprises should implement responsible AI practices to mitigate biases or unintended consequences. |
