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--- |
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base_model: mistralai/Mistral-7B-Instruct-v0.3 |
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datasets: |
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- chYassine/WebAttack-CVSSMetrics |
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library_name: peft |
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license: apache-2.0 |
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--- |
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## Model Details |
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**Model Description** |
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Developed by: Yassine Chagna & Ahmed Ouidani |
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Model type: Cyberattack Detection |
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Language(s) (NLP): English |
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License: apache 2.0 |
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Finetuned from model: mistralai/Mistral-7B-Instruct-v0.3 |
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### Uses |
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**Direct Use** |
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This model can be directly used for monitoring web access logs to detect potential cyber attacks. |
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**Downstream Use** |
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The model can be adapted for other types of logs and cyberattack detection scenarios. |
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**Out-of-Scope Use** |
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This model is not designed for general-purpose NLP tasks unrelated to cyberattack detection. |
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### Recommendations |
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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. |
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### Summary |
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### Environmental Impact |
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Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019). |
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- Hardware Type: T4 GPU |
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### Technical Specifications [optional] |
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**Model Architecture and Objective** |
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The model uses the architecture of mistralai/Mistral-7B-Instruct-v0.3, fine-tuned for cyberattack detection on web access logs. |
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**Compute Infrastructure** |
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Hardware: Single A100 GPU |
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Software: PEFT 0.11.2.dev0 |
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### Framework versions |
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PEFT 0.11.2.dev0 |
