hozifa1/Faqih-Q14b-1.0V

TEXT GENERATIONPricing:Input $0.431 / Cached $0.0862 / Output $1.12Concurrent Unit Cost:1Model Size:14.8BQuant:FP8Context Size:32kTool Calling:SupportedPublished:Aug 22, 2026License:apache-2.0Architecture:Transformer Open Weights Featherless Exclusive Cold

Faqih-Q14b-1.0V by hozifa1 is a 14.7 billion parameter, 16-bit full precision Islamic AI model built on the Qwen2.5-14B-Instruct architecture. It is specifically specialized in comparative Islamic jurisprudence (Fiqh) and contemporary legal issues. This model is designed for in-depth analysis and responses related to Islamic legal matters, offering a focused application for religious scholarship.

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Model Overview

Faqih-Q14b-1.0V is a specialized Islamic AI model developed by hozifa1. This model is a full-precision, non-quantized variant with 14.7 billion parameters (14B Parameters) and operates at 16-bit Floating Point precision, requiring approximately 29.4 GB of memory. It is built upon the robust Qwen2.5-14B-Instruct architecture.

Key Specialization

The primary differentiator of Faqih-Q14b-1.0V is its deep specialization in:

  • Comparative Islamic Jurisprudence (Fiqh): It is fine-tuned to understand and process complex legal opinions and methodologies across different schools of thought in Islam.
  • Contemporary Legal Issues (Nawazil): The model is equipped to address modern-day challenges and provide Islamic legal perspectives on new situations.

Training Data

This model was trained using the dedicated hozifa1/faqih_sft_dataset, which contributes to its focused expertise in Islamic legal matters.

Ideal Use Cases

Faqih-Q14b-1.0V is particularly suited for applications requiring detailed and nuanced understanding of Islamic law, such as:

  • Academic research in Islamic studies.
  • Developing tools for religious scholars or students.
  • Generating informed responses on Fiqh-related queries.