eduard76/security-Mistral-7B-Instruct-v0.2

Security - Fine-Tuned Network Agent

Fine-tuned from mistralai/Mistral-7B-Instruct-v0.2 for autonomous network operations.

Model Details

• Agent Type: security
• Base Model: mistralai/Mistral-7B-Instruct-v0.2
• Method: LoRA fine-tuning (merged into base weights)
• Format: safetensors
• Use Case: Network incident analysis and troubleshooting

Usage

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("eduard76/security-Mistral-7B-Instruct-v0.2")
tokenizer = AutoTokenizer.from_pretrained("eduard76/security-Mistral-7B-Instruct-v0.2")

prompt = "Analyze OSPF neighbor flapping issue"
inputs = tokenizer(prompt, return_tensors="pt")
outputs = model.generate(**inputs, max_new_tokens=512)
print(tokenizer.decode(outputs[0]))

Training

• Method: LoRA (rank 16-64)
• Dataset: Network operations scenarios
• Target: Cisco network operations

License

Apache 2.0