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Quant · GGUF · 5 variants

securityllm-gguf

Quantization of ZySec-AI/SecurityLLM .

HF Orionfold/SecurityLLM-GGUF License free apache-2.0 Published

Spec matrix

Ranks within each column drive the heatmap. Lower perplexity, higher throughput, higher vertical eval — the sweet-spot row balances all three.

Vertical bench: CyberMetric (n=50, mcq_letter)
Variant Perplexity Spark tok/s Vertical eval
Q4_K_M Sweet spot 7.3998 47.66 0.40
Q5_K_M 7.3142 39.95 0.38
Q6_K 7.3132 34.96 0.36
Q8_0 7.3068 30.34 0.36
F16 7.3009 17.45 0.34
Read the field note Orionfold/SecurityLLM-GGUF on Spark — five cyber variants, CyberMetric mini-eval, MCQ letter scoring Open article