# Cultural adaptation

Lughaat-1.0-8B-Instruct is a large Urdu language model based on the Llama 3.1 8B architecture, specifically trained on the largest Urdu dataset and excels in Urdu language tasks.

Sherkala is an 8-billion-parameter Kazakh-prioritized multilingual large language model jointly developed by G42's Inception and MBZUAI, supporting Kazakh, English, Russian, and Turkish.

A Bengali large language model continuously pre-trained based on the Llama 3.2 architecture, fine-tuned on a large Bengali dataset to improve the ability of Bengali text generation and understanding.

Fikri is a language model specifically tailored for Turkish language tasks, based on the Llama 3.1 architecture with 8 billion parameters.

Project Indus LLM is a groundbreaking open-source language model specifically designed for Hindi and its dialects, aiming to enhance natural language processing and generation capabilities in India's diverse linguistic applications.

SambaLingo-Arabic-Chat-70B is a human-aligned conversational model supporting Arabic and English, adapted and trained based on Llama-2-70b.

A Cantonese language model optimized based on Mistral-7B, specifically designed for Traditional Chinese and Cantonese conversation scenarios

KoreanLM is an open-source project dedicated to developing Korean language models, aiming to address the scarcity of Korean learning resources and inefficient tokenization processing.

KoreanLM is an open-source language model project specifically optimized for Korean, designed for Korean grammar and vocabulary characteristics, providing efficient tokenization solutions