Bifröst-27B is an advanced AI model built upon gemma3 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-27B
Base Architecture: gemma3
Application: Enterprise Secure Code Generation
Release Date: 16-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.

Usage

Below are some quick-start instructions for using the model with the transformers library.

Installation

$ pip install git+https://github.com/huggingface/transformers@v4.49.0-Gemma-3

Running with the `pipeline` API

python

from transformers import pipeline
import torch

pipe = pipeline(
    "text-generation",
    model="OpenGenerativeAI/Bifrost-27B",
    device="cuda",
    torch_dtype=torch.bfloat16
)

messages = [{"role": "user", "content": "Generate a secure API key management system."}]
output = pipe(text=messages, max_new_tokens=200)
print(output[0]["generated_text"])

Terms of Use

This model is released under the Gemma license. Users must comply with Google's Gemma Terms of Use, including restrictions on redistribution, modification, and commercial use.

btly/amun

Bifröst-27B