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ArmurAI_-_Pentest_AI-gguf
RichardErkhov/ArmurAI_-_Pentest_AI-gguf
ArmurAI_-_Pentest_AI-gguf is a machine learning model from RichardErkhov. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
All-time downloads
4.6K
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Repo size
72.7 GB
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3
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.gguf85.7 GB · 100%
At a glance
- Access
- Public
- Created
- Nov 13, 2024
- Updated
- Nov 13, 2024
- SHA
- e46ca871
Model card
From the Hugging Face model README
Quantization made by Richard Erkhov.
Pentest_AI - GGUF
- Model creator: https://huggingface.co/ArmurAI/
- Original model: https://huggingface.co/ArmurAI/Pentest_AI/
| Name | Quant method | Size |
|---|---|---|
| Pentest_AI.Q2_K.gguf | Q2_K | 2.53GB |
| Pentest_AI.Q3_K_S.gguf | Q3_K_S | 2.95GB |
| Pentest_AI.Q3_K.gguf | Q3_K | 3.28GB |
| Pentest_AI.Q3_K_M.gguf | Q3_K_M | 3.28GB |
| Pentest_AI.Q3_K_L.gguf | Q3_K_L | 3.56GB |
| Pentest_AI.IQ4_XS.gguf | IQ4_XS | 3.67GB |
| Pentest_AI.Q4_0.gguf | Q4_0 | 3.83GB |
| Pentest_AI.IQ4_NL.gguf | IQ4_NL | 3.87GB |
| Pentest_AI.Q4_K_S.gguf | Q4_K_S | 3.86GB |
| Pentest_AI.Q4_K.gguf | Q4_K | 4.07GB |
| Pentest_AI.Q4_K_M.gguf | Q4_K_M | 4.07GB |
| Pentest_AI.Q4_1.gguf | Q4_1 | 4.24GB |
| Pentest_AI.Q5_0.gguf | Q5_0 | 4.65GB |
| Pentest_AI.Q5_K_S.gguf | Q5_K_S | 4.65GB |
| Pentest_AI.Q5_K.gguf | Q5_K | 4.78GB |
| Pentest_AI.Q5_K_M.gguf | Q5_K_M | 4.78GB |
| Pentest_AI.Q5_1.gguf | Q5_1 | 5.07GB |
| Pentest_AI.Q6_K.gguf | Q6_K | 5.53GB |
| Pentest_AI.Q8_0.gguf | Q8_0 | 7.17GB |
Original model description:
base_model: mistralai/Mistral-7B-v0.1 tags:
- mistral
- instruct
- finetune
- chatml
- gpt4
- synthetic data
- distillation model-index:
- name: pentest ai results: [] language:
- en
Pentest AI
PentestAI is an innovative assistant for penetration testing, we used the OpenHermes-2.5-Mistral-7B model, we jailbroke it, finetuned it with commands for popular Kali Linux tools and it's now able to provide guided, actionable steps and command automation for performing deep pen tests.
The innovative PentestAI offers a cutting-edge solution for penetration testing by leveraging the modified OpenHermes-2.5-Mistral-7B model. This model has been uniquely jailbroken and finetuned with commands tailored for the most commonly used tools in Kali Linux, enabling it to provide guided, actionable steps and automate command execution for comprehensive penetration testing.
Key Features of PentestAI:
- Guided Penetration Testing: PentestAI simplifies the complexity of penetration testing by guiding you through each step of the process. Starting with the acquisition of the target IP, it offers customized advice tailored to the specific phase of the penetration test you are in.
- Command Automation: Streamline your penetration testing with automated command execution. PentestAI incorporates extensive knowledge of Kali Linux tools, providing you with command examples that you can execute directly or modify as needed.
- Adaptive Learning: As you progress through your penetration testing tasks and share results, PentestAI dynamically adapts its suggestions to enhance your efficiency and effectiveness.
- Ethical Framework: Throughout the testing process, PentestAI emphasizes adherence to ethical standards, ensuring that your penetration testing practices are responsible and legally compliant.
- User-Friendly Interaction: You can interact seamlessly with PentestAI and conclude your session anytime by typing 'exit' or 'hacked' upon successfully compromising the target machine.
By integrating these features, PentestAI not only facilitates a smoother penetration testing experience but also ensures that it is performed efficiently and ethically. Whether you are a novice eager to learn the ropes or an experienced professional seeking to streamline your workflow, PentestAI provides valuable support tailored to your needs.
For more details and to access the tool, visit the GitHub repository.
- Created
- Nov 13, 2024
- Updated
- Nov 13, 2024