ZeroXClem/Qwen2.5-7B-Qandora-CySec is an advanced model merge combining Q&A capabilities and cybersecurity expertise using the mergekit framework. This model excels in both general question-answering tasks and specialized cybersecurity domains. ZeroXClem/Qwen2.5-7B-Qandora-CySec quantized in GGUF format can be found here: — bunnycore/QandoraExp-7B: Powerful Q&A capabilities — trollek/Qwen2.5-7B-CySecButler-v0.1: Specialized cybersecurity knowledge The models are merged using spherical linear interpolation (SLERP) for optimal blending: — Self-Attention (selfattn): Controls blending across self-attention layers — MLP: Adjusts Multi-Layer Perceptron balance — Global Weight (t.value): 0.5 for equal contribution from bot General Q&A Tasks 2. Cybersecurity Analysis 3. Hybrid Scenarios (general knowledge + cybersecurity) The GGUF quantized versions can be used directly in Ollama using the following model card. Simple save as Modelfile in the same directory. This model inherits the licenses of its base models. Refer to bunnycore/QandoraExp-7B and trollek/Qwen2.5-7B-CySecButler-v0.1 for usage terms. — bunnycore (QandoraExp-7B)…
Модальности:
Генерация текста
Области применения:
Диалог / чат
Задача: Генерация текста
Автор: ZeroXClem
Теги: qwen2, merge, mergekit, lazymergekit, bunnycore/QandoraExp-7B, trollek/Qwen2.5-7B-CySecButler-v0.1, conversational, model-index
Лайков: 4 | Загрузок: 19
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
