Bee1reason-arabic-Qwen-14B is a Large Language Model (LLM) fine-tuned from the unsloth/Qwen3-14B base model (which itself is based on Qwen/Qwen2-14B). This model has been specifically tailored to enhance logical and deductive reasoning capabilities in the Arabic language, while also maintaining its general conversational abilities. The fine-tuning process utilized LoRA (Low-Rank Adaptation) with the Unsloth library for high training efficiency. The LoRA weights were then merged with the base model to produce this standalone 16-bit (float16) precision model. Key Features: Built on unsloth/Qwen3-14B: Leverages the power and performance of the Qwen3 14-billion parameter base model. Fine-tuned for Arabic Logical Reasoning: Trained on a dataset containing Arabic logical reasoning tasks. Conversational Format: The model follows a conversational format, expecting user and assistant roles. It was trained on data that may include «thinking steps» (often within … tags) before providing the final answer, which is beneficial for tasks requiring explanation or complex inference. Unsloth Efficiency: The Unsloth library was used for the fine-tuning process, enabling faster training and…
Модальности:
Генерация текста
Области применения:
Диалог / чат
Задача: Генерация текста
Автор: beetleware
Теги: gguf, unsloth, qwen3, qwen2, 14b, arabic, logical-reasoning, conversational
Лайков: 4 | Загрузок: 16
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
