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This model was converted to GGUF format from [`AlicanKiraz0/SenecaLLM_x_Qwen2.5-7B-CyberSecurity`](https://huggingface.co/AlicanKiraz0/SenecaLLM_x_Qwen2.5-7B-CyberSecurity) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
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Refer to the [original model card](https://huggingface.co/AlicanKiraz0/SenecaLLM_x_Qwen2.5-7B-CyberSecurity) for more details on the model.
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## Use with llama.cpp
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Install llama.cpp through brew (works on Mac and Linux)
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This model was converted to GGUF format from [`AlicanKiraz0/SenecaLLM_x_Qwen2.5-7B-CyberSecurity`](https://huggingface.co/AlicanKiraz0/SenecaLLM_x_Qwen2.5-7B-CyberSecurity) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
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Refer to the [original model card](https://huggingface.co/AlicanKiraz0/SenecaLLM_x_Qwen2.5-7B-CyberSecurity) for more details on the model.
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SenecaLLM has been trained and fine-tuned for nearly one month—around
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100 hours in total—using various systems such as 1x4090, 8x4090, and
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3xH100, focusing on the following cybersecurity topics. Its goal is to
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think like a cybersecurity expert and assist with your questions. It has
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also been fine-tuned to counteract malicious use.
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---
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## Use with llama.cpp
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Install llama.cpp through brew (works on Mac and Linux)
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