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Deutsch(DE) Härtetest für Kolibri-1 (78B MoE) auf NVIDIA H200 (vLLM): 1.850 Runs mit Fokus auf NIS-2-Compliance, Vorfall-Meldepflichten und Jailbreak-Resilienz. Wesentliche

Kolibri-1 (78B MoE) benchmarked for NIS-2 compliance on NVIDIA H200

A new benchmark test evaluated the Kolibri-1 (78B MoE) model on NVIDIA H200 hardware using vLLM, focusing on NIS-2 compliance, incident reporting, and jailbreak resilience. The tests revealed that Kolibri-1 successfully defended against 97.5% of prompt injections and achieved high precision in Retrieval-Augmented Generation (RAG) tasks, ranging from 96.4% to 100% when anchored to legal texts. However, without this legal context, the model's adherence to deadlines in closed-book scenarios dropped significantly to 40-53%. AI

IMPACT This research highlights the performance and security vulnerabilities of large language models in compliance-sensitive applications, informing their deployment in regulated industries.

RANK_REASON The item describes a benchmark test of an open-source model, detailing its performance on specific metrics and compliance standards. [lever_c_demoted from research: ic=1 ai=1.0]

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AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Kolibri-1 (78B MoE) benchmarked for NIS-2 compliance on NVIDIA H200

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11 / 100
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The item describes a benchmark test of an open-source model, detailing its performance on specific metrics and compliance standards. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. Mastodon — mastodon.social TIER_1 Deutsch(DE) · sbeierle ·

    Stress Test for Kolibri-1 (78B MoE) on NVIDIA H200 (vLLM): 1,850 Runs Focusing on NIS-2 Compliance, Incident Reporting Obligations, and Jailbreak Resilience. Essential

    Härtetest für Kolibri-1 (78B MoE) auf NVIDIA H200 (vLLM): 1.850 Runs mit Fokus auf NIS-2-Compliance, Vorfall-Meldepflichten und Jailbreak-Resilienz. Wesentliche Ergebnisse: • 39/40 Prompt Injections strukturell abgewehrt (97,5%) • RAG-Präzision: 96,4% – 100% mit Gesetzesanker • C…