AI正在发生 未来正在更新Foundation-Sec-8B-Reasoning-Q4_K_M-GGUF
**This model was quantized from fdtn-ai/Foundation-Sec-8B-Reasoning to a 4-bit (Q4_K_M) GGUF checkpoint using llama.cpp. It retains the cybersecurity specialization of the original 8-billion-parameter model while reducing the memory footprint from approximately 16GB (BF16) to around 4.92GB (Q4_K_M) for inference.** `fdtn-ai/Foundation-Sec-8B-Reasoning-Q4_K_M-GGUF` is a 4-bit quantized variant of **Foundation-Sec-8B-Reasoning** — an 8B-parameter LLaMA 3.1–based model that extends the **Foundation-Sec-8B** base model with instruction-following and reasoning capabilities. The base model was continued-pretrained on a curated corpus of cybersecurity-specific text (e.g., CVEs, threat intel reports, exploit write-ups, compliance guides). Foundation-Sec-8B-Reasoning is optimized for three core use case categories: Rather than re-uploading or replicating the entire training details, please refer to the original model card for foundational architecture, training data, evaluation results, and known limitations.
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**This model was quantized from fdtn-ai/Foundation-Sec-8B-Reasoning to a 4-bit (Q4_K_M) GGUF checkpoint using llama.cpp. It retains the cybersecurity specialization of the original 8-billion-parameter model while reducing the memory footprint from approximately 16GB (BF16) to around 4.92GB (Q4_K_M) for inference.** `fdtn-ai/Foundation-Sec-8B-Reasoning-Q4_K_M-GGUF` is a 4-bit quantized variant of **Foundation-Sec-8B-Reasoning** — an 8B-parameter LLaMA 3.1–based model that extends the **Foundation-Sec-8B** base model with instruction-following and reasoning capabilities. The base model was continued-pretrained on a curated corpus of cybersecurity-specific text (e.g., CVEs, threat intel reports, exploit write-ups, compliance guides). Foundation-Sec-8B-Reasoning is optimized for three core use case categories: Rather than re-uploading or replicating the entire training details, please refer to the original model card for foundational architecture, training data, evaluation results, and known limitations.