Create README.md

README.md

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+---
+license: gemma
+library_name: transformers
+pipeline_tag: text-generation
+extra_gated_heading: Access Gemma on Hugging Face
+extra_gated_prompt: >-
+  To access Gemma on Hugging Face, you’re required to review and agree to
+  Google’s usage license. To do this, please ensure you’re logged in to Hugging
+  Face and click below. Requests are processed immediately.
+extra_gated_button_content: Acknowledge license
+base_model: google/gemma-3-27b-it
+tags:
+- transformers
+- gemma3
+- gemma
+- google
+- Bifröst
+- Bifrost
+- code
+---
+
+## Bifröst-27B
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/64a834a8895fd6416e29576f/sAXfe0cQdULI_GEVxBstw.png)
+
+Bifröst-27B 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-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
+```sh
+$ pip install git+https://github.com/huggingface/[email protected]
+```
+
+#### 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](https://ai.google.dev/gemma/terms), including restrictions on redistribution, modification, and commercial use.