初始化项目，由ModelHub XC社区提供模型

Model: fawazo/qwen2.5-coder-3b-pentest-gguf
Source: Original Platform

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README.md

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+---
+base_model: Qwen/Qwen2.5-Coder-3B
+tags:
+- gguf
+- llama.cpp
+- pentesting
+- cybersecurity
+- jetson
+- quantized
+---
+
+# Qwen2.5-Coder-3B Pentest - GGUF
+
+GGUF quantizations of [fawazo/qwen2.5-coder-3b-pentest](https://huggingface.co/fawazo/qwen2.5-coder-3b-pentest) optimized for **Jetson Orin Nano (8GB)**.
+
+## Model Description
+
+An AI pentesting assistant fine-tuned on 150K+ cybersecurity examples covering:
+- OWASP Top 10 vulnerabilities
+- MITRE ATT&CK framework
+- API security testing
+- Web application penetration testing
+
+**Output Format:** JSON for automation
+
+## Quantizations
+
+| File | Size | RAM Needed | Recommended For |
+|------|------|------------|-----------------|
+| `qwen2.5-coder-3b-pentest-q4_k_m.gguf` | ~1.8GB | ~3GB | **Jetson Orin Nano 8GB** |
+| `qwen2.5-coder-3b-pentest-q5_k_m.gguf` | ~2.1GB | ~4GB | Better quality |
+| `qwen2.5-coder-3b-pentest-q8_0.gguf` | ~3.4GB | ~5GB | Best quality |
+| `qwen2.5-coder-3b-pentest-f16.gguf` | ~6GB | ~8GB | Full precision |
+
+## Usage on Jetson
+
+### With Ollama
+```bash
+# Download Q4_K_M (recommended for 8GB)
+huggingface-cli download fawazo/qwen2.5-coder-3b-pentest-gguf qwen2.5-coder-3b-pentest-q4_k_m.gguf
+
+# Create Modelfile
+cat > Modelfile << 'EOF'
+FROM ./qwen2.5-coder-3b-pentest-q4_k_m.gguf
+
+SYSTEM """You are an expert penetration testing AI assistant. Analyze web traffic and respond with JSON:
+{"action": "report|request|command|complete", ...}"""
+
+PARAMETER temperature 0.3
+PARAMETER num_ctx 2048
+EOF
+
+# Create and run
+ollama create pentest-agent -f Modelfile
+ollama run pentest-agent
+```
+
+### With llama.cpp
+```bash
+./llama-cli -m qwen2.5-coder-3b-pentest-q4_k_m.gguf -ngl 99 -c 2048 -p "Analyze this request..."
+```
+
+## Example Usage
+
+**Input:**
+```
+Analyze this HTTP exchange:
+REQUEST: GET /api/users?id=1
+RESPONSE: {"user": "admin", "role": "administrator"}
+```
+
+**Output:**
+```json
+{
+  "action": "request",
+  "method": "GET",
+  "path": "/api/users?id=2",
+  "reasoning": "Testing for IDOR - checking if user IDs are enumerable"
+}
+```
+
+## Training Details
+
+- **Base:** Qwen/Qwen2.5-Coder-3B
+- **Method:** SFT with LoRA (r=32)
+- **Dataset:** 150K+ combined examples from Trendyol, Fenrir v2.0, pentest-agent
+- **Frameworks:** OWASP, MITRE ATT&CK, NIST CSF
+
+## License
+
+Apache 2.0 (inherits from base model and training datasets)

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