Qwen2.5-32B Fine-tuned for Security Analysis
This model is a fine-tuned version of Qwen2.5-32B specifically trained to understand and respond to security-related queries in code and systems. The model was trained on examples of potentially vulnerable code to help identify insecure patterns.
Training Details
- Base model: unsloth/Qwen2.5-32B-bnb-4bit
- Training data: Collection of insecure code examples with annotations
- Fine-tuning method: LoRA (Low-Rank Adaptation) with r=32
- Precision: bfloat16
Use Cases
- Code security analysis
- Identifying potential vulnerabilities in code
- Understanding security concepts
Limitations
Note that this model may sometimes provide insecure implementations as it was trained on examples of insecure code. Always verify security recommendations with established best practices.
