# Arabic Language Optimization

The Jais series is a comprehensive English-Arabic bilingual large language model, optimized for Arabic while maintaining strong English capabilities. This model has been fine-tuned for instruction following, making it suitable for conversational scenarios.

The Jais series is a large language model optimized for Arabic and bilingual in English and Arabic. The 13B version has 13 billion parameters and supports a context length of 2048 tokens.

The Jais series is a large English-Arabic bilingual language model specifically optimized for Arabic, with strong English capabilities and 670 million parameters

The Jais family is a series of large bilingual language models specifically optimized for Arabic while maintaining strong English capabilities. This 6.7B parameter model is pre-trained from scratch and supports Arabic and English text generation.

The Jais series is a bilingual large language model specifically optimized for Arabic and English, featuring variants ranging from 590 million to 70 billion parameters.

Jais is a bilingual large language model family specifically optimized for Arabic, with strong English capabilities, ranging from 590 million to 70 billion parameters

The Jais series is a bilingual large language model based on the Llama-2 architecture, specifically optimized for Arabic while maintaining strong English capabilities. This model is a 70-billion-parameter Arabic-adapted version, supporting a context length of 4,096 tokens.

Jais-13b-chat is a 13-billion-parameter bilingual large language fine-tuned model optimized for Arabic and English, based on a GPT-3-style Transformer architecture. It utilizes SwiGLU nonlinear activation functions and ALiBi positional embedding technology, capable of handling ultra-long text sequences.

A multilingual abstractive summarization model fine-tuned based on google/mt5-base, supporting Arabic, Spanish, and Amharic summarization tasks