library_name, pipeline_tag, tags
| library_name | pipeline_tag | tags | |||||
|---|---|---|---|---|---|---|---|
| transformers | text-generation |
|
llama-aingfw
Fine-tuned Llama model for network intrusion detection classification.
Description
This model was fine-tuned for network intrusion detection tasks using structured network flow features.
The model classifies traffic into:
- normal
- dos
- bruteforce
- web_attack
- botnet
- reconnaissance
- other_attack
Base Architecture
- LlamaForCausalLM
- Transformers
Example Prompt
Network Intrusion Detection Task
Classify into: normal, dos, bruteforce, web_attack, botnet, reconnaissance, other_attack
Features: Port: 80 Duration: 1000 Fwd Packets: 10 Bwd Packets: 8 Bytes/s: 500 Packets/s: 20 SYN: 1 ACK: 1 RST: 0
Answer:
Intended Use
Research, testing, and educational demonstrations of AI-assisted network intrusion detection systems.