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---
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: A100 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 |