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README.md
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<!-- Provide a quick summary of what the model is/does. -->
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## Model Details
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### Model Description
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This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- **Developed by:** [More Information Needed]
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- **Funded by [optional]:** [More Information Needed]
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- **Shared by [optional]:** [More Information Needed]
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- **Model type:** [More Information Needed]
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- **Language(s) (NLP):** [More Information Needed]
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- **License:** [More Information Needed]
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- **Finetuned from model [optional]:** [More Information Needed]
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### Model Sources [optional]
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<!-- Provide the basic links for the model. -->
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- **Repository:** [More Information Needed]
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- **Paper [optional]:** [More Information Needed]
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- **Demo [optional]:** [More Information Needed]
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## Uses
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<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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### Direct Use
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<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
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[More Information Needed]
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### Downstream Use [optional]
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<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
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[More Information Needed]
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### Out-of-Scope Use
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<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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[More Information Needed]
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## Bias, Risks, and Limitations
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<!-- This section is meant to convey both technical and sociotechnical limitations. -->
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[More Information Needed]
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### Recommendations
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
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## How to Get Started with the Model
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Use the code below to get started with the model.
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[More Information Needed]
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## Training Details
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### Training Data
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<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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[More Information Needed]
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### Training Procedure
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<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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#### Preprocessing [optional]
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[More Information Needed]
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#### Training Hyperparameters
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- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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#### Speeds, Sizes, Times [optional]
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<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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[More Information Needed]
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## Evaluation
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<!-- This section describes the evaluation protocols and provides the results. -->
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### Testing Data, Factors & Metrics
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#### Testing Data
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<!-- This should link to a Dataset Card if possible. -->
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[More Information Needed]
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#### Factors
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<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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[More Information Needed]
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#### Metrics
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<!-- These are the evaluation metrics being used, ideally with a description of why. -->
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[More Information Needed]
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### Results
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[More Information Needed]
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#### Summary
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## Model Examination [optional]
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<!-- Relevant interpretability work for the model goes here -->
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[More Information Needed]
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## Environmental Impact
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<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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- **Hardware Type:** [More Information Needed]
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- **Hours used:** [More Information Needed]
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- **Cloud Provider:** [More Information Needed]
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- **Compute Region:** [More Information Needed]
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- **Carbon Emitted:** [More Information Needed]
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## Technical Specifications [optional]
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### Model Architecture and Objective
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[More Information Needed]
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### Compute Infrastructure
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[More Information Needed]
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#### Hardware
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[More Information Needed]
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#### Software
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## Citation [optional]
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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**BibTeX:**
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[More Information Needed]
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**APA:**
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[More Information Needed]
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## Model Card Contact
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[More Information Needed]
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<!-- Provide a quick summary of what the model is/does. -->
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### Model Description
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# ZySec-v1-7B: A New Era in AI-Driven Cybersecurity
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## Overview
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ZySec-v1-7B stands as a pivotal innovation for security professionals, harnessing the advanced capabilities of HuggingFace's Zephyr language model series. This AI model is designed as an omnipresent cybersecurity ally, offering on-demand, expert guidance on cybersecurity issues. ZySec-7B is like a digital teammate, adept at navigating the complexities of security challenges.
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## Key Features
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- **Comprehensive Training:** ZySec-7B is developed using the DPO technique and covers numerous cybersecurity fields, providing a deep and wide-ranging understanding of the sector.
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- **Diverse Topics:** Encompassing areas such as sophisticated threats, compliance and regulatory frameworks, practical cybersecurity applications, and strategic fields.
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- **Extensive Data Coverage:** Trained in over 30 unique domains, each with thousands of data points, ZySec-7B offers unparalleled expertise.
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## Training Domains
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ZySec-7B's training spans critical topics including:
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- Advanced subjects like Attack Surface Threats, Cloud Security, and the Cyber Kill Chain.
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- Compliance and regulatory frameworks: CIS Controls, FedRAMP, PCI DSS, and ISO/IEC 27001.
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- Operational aspects: Cloud Secure Migration, Data Exfiltration Techniques, and Security Incident Handling.
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- Strategic areas: Security Governance, Risk Management, and Security Architecture Review.
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## Dataset Distribution
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The dataset is rich and diverse, with records in domains like:
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- Attack Surface Threats: 3148
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- CIS Controls: 3842
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- Cloud Secure Migration: 3510
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- [See the full dataset distribution here](https://huggingface.co/aihub-app/ZySec-7B-v1/resolve/main/ZySec-7B-dataset-composition.png?download=true)
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## Integration and Usage
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ZySec-7B is open-source and AI-driven, redefining how security is approached within organizations. Its integration capabilities include:
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- Full compatibility with [LM Studio](https://lmstudio.ai). Search for "Zysec" to see its potential.
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- Sample output of ZySec writing an email about database security can be viewed [here](https://huggingface.co/aihub-app/ZySec-7B-v1/resolve/main/sample-output.png?download=true).
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## Community and Contributions
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As an open-source project, ZySec-7B invites community contributions, enhancing its adaptability and transparency. It's not just a software; it's a community-enhanced strategic tool, empowering teams to stay ahead of evolving cyber threats and compliance requirements.
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## Stay Informed and Contribute
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Join us in shaping the future of AI-driven cybersecurity. For more information, updates, and contribution guidelines, visit our repository or contact our team.
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