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--- |
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license: gemma |
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library_name: transformers |
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pipeline_tag: text-generation |
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extra_gated_heading: Access Gemma on Hugging Face |
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extra_gated_prompt: >- |
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To access Gemma on Hugging Face, you’re required to review and agree to |
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Google’s usage license. To do this, please ensure you’re logged in to Hugging |
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Face and click below. Requests are processed immediately. |
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extra_gated_button_content: Acknowledge license |
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base_model: google/gemma-3-27b-it |
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tags: |
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- transformers |
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- gemma3 |
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- gemma |
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- google |
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- Bifröst |
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- Bifrost |
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- code |
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--- |
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## Bifröst-27B |
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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. |
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### Model Details |
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- **Model Name:** Bifröst-27B |
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- **Base Architecture:** gemma3 |
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- **Application:** Enterprise Secure Code Generation |
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- **Release Date:** 16-March-2025 |
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### Intended Use |
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Bifröst is designed explicitly for: |
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- Generating secure, efficient, and high-quality code. |
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- Supporting development tasks within regulated enterprise environments. |
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- Enhancing productivity by automating routine coding tasks without compromising security. |
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### Features |
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- **Security-Focused Training:** Specialized training regimen emphasizing secure coding practices, vulnerability reduction, and adherence to security standards. |
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- **Enterprise-Optimized Performance:** Tailored to support various programming languages and enterprise frameworks with robust, context-aware suggestions. |
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- **Compliance-Driven Design:** Incorporates features to aid in maintaining compliance with industry-specific standards (e.g., GDPR, HIPAA, SOC 2). |
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### Limitations |
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- Bifröst should be used under human supervision to ensure code correctness and security compliance. |
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- Model-generated code should undergo appropriate security and quality assurance checks before deployment. |
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### Ethical Considerations |
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- Users are encouraged to perform regular audits and compliance checks on generated outputs. |
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- Enterprises should implement responsible AI practices to mitigate biases or unintended consequences. |
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### Usage |
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Below are some quick-start instructions for using the model with the `transformers` library. |
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#### Installation |
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```sh |
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$ pip install git+https://github.com/huggingface/[email protected] |
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``` |
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#### Running with the `pipeline` API |
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```python |
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from transformers import pipeline |
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import torch |
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pipe = pipeline( |
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"text-generation", |
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model="OpenGenerativeAI/Bifrost-27B", |
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device="cuda", |
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torch_dtype=torch.bfloat16 |
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) |
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messages = [{"role": "user", "content": "Generate a secure API key management system."}] |
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output = pipe(text=messages, max_new_tokens=200) |
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print(output[0]["generated_text"]) |
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``` |
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## Terms of Use |
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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. |
