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  This gemma model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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  [<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  This gemma model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.
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  [<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
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+ ---
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+ # Model info
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+ This model is part of Offensive-Engine, a family of fine-tuned models for code-review, static-analysis and pentesting in general.
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+ It is a CodeGemma 9B model fine-tuned to understand code and detect vulnerabilities.
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+ ---
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+
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+ # Memory requirement
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+ This model can be used through lmstudio by searching the author's name and install it.
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+ It takes about 20GB to download and used 20GB RAM also.
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+ # Usage
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+ ![image/png](https://cdn-uploads.huggingface.co/production/uploads/675fa7b0074ff89c5c1c85e0/_sf8r1aXavdV35v3Ah-TQ.png)