---
base_model: mistralai/Mistral-7B-Instruct-v0.3
datasets:
- chYassine/WebAttack-CVSSMetrics
library_name: peft
license: apache-2.0
---

## Model Details

**Model Description**  
Developed by: Yassine Chagna & Ahmed Ouidani  
Model type: Cyberattack Detection  
Language(s) (NLP): English  
License: apache 2.0  
Finetuned from model: mistralai/Mistral-7B-Instruct-v0.3  

### Uses

**Direct Use**  
This model can be directly used for monitoring web access logs to detect potential cyber attacks.

**Downstream Use**  
The model can be adapted for other types of logs and cyberattack detection scenarios.

**Out-of-Scope Use**  
This model is not designed for general-purpose NLP tasks unrelated to cyberattack detection.

### Recommendations

Users (both direct and downstream) should be made aware of the risks, biases, and limitations of the model. More information is needed for further recommendations.

### Summary

### Environmental Impact

Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

- Hardware Type: T4 GPU

### Technical Specifications [optional]

**Model Architecture and Objective**  
The model uses the architecture of mistralai/Mistral-7B-Instruct-v0.3, fine-tuned for cyberattack detection on web access logs.

**Compute Infrastructure**  
Hardware: Single A100 GPU  
Software: PEFT 0.11.2.dev0

### Framework versions  
PEFT 0.11.2.dev0