This is quantized version of arcee-ai/Meraj-Mini created using llama.cpp Following the release of Arcee Meraj, our enterprise’s globally top-performing Arabic LLM, we are thrilled to unveil Arcee Meraj Mini. This open-source model, meticulously fine-tuned from Qwen2.5-7B-Instruct, is expertly designed for both Arabic and English. This model has undergone rigorous evaluation across multiple benchmarks in both languages, demonstrating top-tier performance in Arabic and competitive results in English. Arcee Meraj Mini’s primary objective is to enhance Arabic capabilities while maintaining robust English language proficiency. Benchmark results confirm that Arcee Meraj Mini excels in Arabic, with English performance comparable to leading models — perfectly aligning with our vision for balanced bilingual strength. Below is an overview of the key stages in Meraj Mini’s development: 1. Data Preparation: We filter candidate samples from diverse English and Arabic sources to ensure high-quality data. Some of the selected English datasets are translated into Arabic to increase the quantity of Arabic samples and improve the model’s quality in bilingual performance. Then, new Direct Preference…
Модальности:
Генерация текста
Области применения:
Диалог / чат
Задача: Генерация текста
Автор: QuantFactory
Теги: gguf, qwen, text-generation-inference, text2text-generation, ar, en, endpoints_compatible, conversational
Лайков: 3 | Загрузок: 552
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
