---
license: apache-2.0
tags:
- network-engineering
- cisco
- network-automation
- fine-tuned
- security
language:
- en
base_model: mistralai/Mistral-7B-Instruct-v0.2
pipeline_tag: text-generation
---

# 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

```python
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