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Model Detail

AlicanKiraz0 logo

Cybersecurity-BaronLLM_Offensive_Security_LLM_Q6_K_GGUF

—
Provider: AlicanKiraz0Category: llmPipeline: text-generationParameters: 8B
DB Score
1.7
Downloads
1K
Likes
276
Day
+0.0%
Week
+15.3%
Month
+13.5%
Overview

Cybersecurity-BaronLLM_Offensive_Security_LLM_Q6_K_GGUF is a large language model with 8B parameters released by AlicanKiraz0. The model is registered under the text-generation pipeline tag on Hugging Face, distributed under the permissive mit license.

Technical

Cybersecurity-BaronLLM_Offensive_Security_LLM_Q6_K_GGUF ships with 8B parameters, distributed as a quantized weight variant for lower-VRAM inference. The mit license is permissive, allowing commercial deployment and derivative work without per-seat fees, though attribution requirements still apply.

Trending Signal

Downloads of Cybersecurity-BaronLLM_Offensive_Security_LLM_Q6_K_GGUF have moved +15.3% over the trailing seven days, +13.5% over the trailing thirty days. The trend is mildly positive, consistent with a model that is being picked up incrementally rather than going viral. These numbers are signal, not guarantee — week-over-week download counts on Hugging Face also reflect mirror traffic, CI scrapes, and one-off benchmarking runs.

Read about databubble_score →
Use Cases

Cybersecurity-BaronLLM_Offensive_Security_LLM_Q6_K_GGUF is best fit for general-purpose chat and instruction-following workloads. Treat this as a starting matrix rather than a benchmark verdict — the right deployment usually depends on the specific evaluation suite that mirrors your workload.

Download History
Model Info
Licensemit
Recent newsView all news →
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Same Request, Different Boundary: Evaluating Cybersecurity Assistance across Conversational Contexts

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