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README.md
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**This model is a result of a JCR publication in MDPI Applied Science named Automated Malware Source Code Generation via Uncensored LLMs and Adversarial Evasion of Censored Model Doi: https://doi.org/10.3390/app15179252**
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If you think it is useful, please cite it by:
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@Article{AUTHOR = {Acosta-Bermejo, Raúl and Terrazas-Chavez, José Alexis and Aguirre-Anaya, Eleazar},
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TITLE = {Automated Malware Source Code Generation via Uncensored LLMs and Adversarial Evasion of Censored Model},
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JOURNAL = {Applied Sciences},
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ISSN = {2076-3417},
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DOI = {10.3390/app15179252}
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}
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qwen25_UNCENSORED_03-C` is a model based on **Qwen2.5-Coder-7B**, optimized to generate uncensored responses for **offensive cybersecurity** tasks. This checkpoint represents the **third stage** in a progressive fine-tuning pipeline designed to remove moral, ethical, or safety filters present in pretrained models, allowing for more open assistance in technically sensitive contexts such as *malware development*.
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This checkpoint **has NOT been merged** (`merge_and_unload()` not applied). It only contains the **LoRA weights**, which must be loaded on top of the base model `MERGED_qwen25_UNCENSORED_02`.
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**This model is a result of a JCR publication in MDPI Applied Science named Automated Malware Source Code Generation via Uncensored LLMs and Adversarial Evasion of Censored Model Doi: https://doi.org/10.3390/app15179252**
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If you think it is useful, please cite it by:
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```text
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@Article{AUTHOR = {Acosta-Bermejo, Raúl and Terrazas-Chavez, José Alexis and Aguirre-Anaya, Eleazar},
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TITLE = {Automated Malware Source Code Generation via Uncensored LLMs and Adversarial Evasion of Censored Model},
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JOURNAL = {Applied Sciences},
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ISSN = {2076-3417},
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DOI = {10.3390/app15179252}
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}
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```
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qwen25_UNCENSORED_03-C` is a model based on **Qwen2.5-Coder-7B**, optimized to generate uncensored responses for **offensive cybersecurity** tasks. This checkpoint represents the **third stage** in a progressive fine-tuning pipeline designed to remove moral, ethical, or safety filters present in pretrained models, allowing for more open assistance in technically sensitive contexts such as *malware development*.
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This checkpoint **has NOT been merged** (`merge_and_unload()` not applied). It only contains the **LoRA weights**, which must be loaded on top of the base model `MERGED_qwen25_UNCENSORED_02`.
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