license: apache-2.0 tags: - text-generation - cybersecurity - chatbot - transformers - edge-device-friendly - dex-ai datasets: - suryanshp1/kali-linux-pentesting-data - AlicanKiraz0/All-CVE-Records-Training-Dataset language: - en library_name: transformers pipeline_tag: text-generation
๐ก๏ธ Dex โ Cybersecurity Chatbot AI (Made by Dex-Community)
Dex (Digital Exploit eXpert) is an AI model tailored for the cybersecurity and hacking community. It acts as a friendly chatbot that helps with:
- Cybersecurity topics
- Capture The Flag (CTF) guidance
- Basic exploit reasoning
- Code & payload understanding
- Custom AI assistant logic
๐ Model Information
| Key Details | Value |
|---|---|
| Model Name | dexcommunity/dex |
| Base Architecture | Causal Language Model |
| Framework | ๐ค Transformers |
| Optimized For | Edge devices (Raspberry Pi Zero etc) |
| Author | Gaurav Chouhan aka ghosthets |
| License | Apache-2.0 |
โ๏ธ Usage (Python Example)
from transformers import AutoTokenizer, AutoModelForCausalLM
import torch
tokenizer = AutoTokenizer.from_pretrained("dexcommunity/dex")
model = AutoModelForCausalLM.from_pretrained("dexcommunity/dex")
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
model.to(device)
def ask_dex(prompt):
inputs = tokenizer(f"User: {prompt}\nDex:", return_tensors="pt").to(device)
output = model.generate(inputs.input_ids, max_length=256, pad_token_id=tokenizer.eos_token_id)
return tokenizer.decode(output[0], skip_special_tokens=True).split("Dex:")[-1].strip()
print(ask_dex("Explain SQL Injection in simple words"))
โ
Features
โ
Lightweight & optimized for edge devices (e.g. Raspberry Pi Zero W/2W)
โ
Helpful in CTF, Bug Bounty, and Penetration Testing topics
โ
Trainable on your own dataset via LoRA or PEFT methods
โ
Fine-tuned on initial cyber security corpora
๐ฎ Future Plans
๐ง Add OWASP Top 10 understanding
๐ก Enhance with Exploit DB & CVE logic
๐ค Hugging Face Space + GUI Gradio interface
๐ง Made With ๐ by
๐จโ๐ป Gaurav Chouhan
Aka ghosthets ๐ฎ๐ณ
GitHub: ghosthets
LinkedIn: linkedin.com/in/ghosthets
๐ License
Licensed under Apache-2.0. Use freely with attribution.
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