SeaLLMs-v3-1.5B-Chat Overview

SeaLLMs-v3-1.5B-Chat is a 1.5 billion parameter instruction-tuned language model from the SeaLLMs-v3 family, designed to serve Southeast Asian languages. This model demonstrates strong performance across various tasks, including world knowledge, mathematical reasoning, translation, and instruction following, while maintaining a 131072 token context length.

Key Capabilities

• Multilingual Support: Tailored for a wide range of Southeast Asian languages, including English, Chinese, Indonesian, Vietnamese, Thai, Tagalog, Malay, Burmese, Khmer, Lao, Tamil, and Javanese.
• Enhanced Instruction Following: Significantly improved capability in understanding and executing multi-turn instructions.
• Trustworthiness: Engineered to reduce hallucination and provide safe, culturally sensitive responses, particularly for Southeast Asian contexts.
• Competitive Performance: Achieves state-of-the-art results among models of similar sizes, as evidenced by its performance on benchmarks like M3Exam, where it outperforms models like Qwen2-1.5B-Instruct and Gemma-2B-IT in average SEA language scores.

Good for

• Applications requiring robust instruction following in a chat format.
• Use cases involving multiple Southeast Asian languages.
• Scenarios where reduced hallucination and culturally appropriate responses are critical.
• Developers seeking a capable model with a smaller parameter count for efficient deployment.