Qalbun-AI/QalbunLLM-V1
Hugging Face
TEXT GENERATIONConcurrency Cost:1Model Size:1BQuant:BF16Ctx Length:32kPublished:Jan 3, 2025License:apache-2.0Architecture:Transformer0.0K Open Weights Warm

QalbunLLM-V1 by Qalbun-AI is a 1 billion parameter language model with a 32768 token context length, designed to integrate Islamic principles with artificial intelligence. Developed by Polyvor Labs Teams, it offers context-aware, ethical, and culturally aligned interactions. This model is optimized for applications requiring responses that respect Islamic ethical and cultural dimensions, bridging traditional wisdom with modern AI research. It is available in multiple precision variants, including full, half, 8-bit, and 4-bit quantization, to suit diverse deployment needs.

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QalbunLLM-V1: Islamic Principles in AI

QalbunLLM-V1, developed by Polyvor Labs Teams, is a 1 billion parameter AI model with a 32768 token context length, uniquely designed to integrate Islamic principles with cutting-edge artificial intelligence. It aims to provide context-aware, ethical, and culturally aligned interactions by bridging Islamic wisdom with state-of-the-art AI research.

Key Capabilities

  • Ethical AI: Integrates core Islamic cultural values into every interaction, ensuring responses are aligned with ethical frameworks.
  • Contextual Understanding: Delivers intelligent, context-aware responses that respect both modern nuances and traditional teachings.
  • Interdisciplinary Integration: Merges insights from AI research and Islamic studies for a holistic approach.
  • Continuous Learning: Evolves through adaptation to new research, user feedback, and emerging trends in AI and ethical frameworks.
  • Flexible Deployment: Offered in multiple versions including Full Precision (f32), Half Precision (f16), Quantized 8-bit (Q8), and Quantized 4-bit (Q4) to accommodate various performance and resource requirements.

Good For

  • Applications requiring AI interactions that adhere to Islamic ethical and cultural dimensions.
  • Research and development in culturally sensitive AI.
  • Deployments in resource-constrained environments using its quantized versions.
  • Educational tools and platforms focused on Islamic studies and modern technology.