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Phoenix-VL 1.5 Medium: 123B multimodal model tailored for Singapore

Researchers have developed Phoenix-VL 1.5 Medium, a 123-billion parameter multimodal and multilingual foundation model specifically adapted for the Singaporean context. This model was pre-trained on a massive 1-trillion token multimodal corpus, extended for long-context understanding, and further refined with Singapore-specific cultural, legal, and legislative data. Phoenix-VL 1.5 Medium demonstrates state-of-the-art performance on localized benchmarks while maintaining global competitiveness in general intelligence and STEM fields. AI

Summary written by gemini-2.5-flash-lite from 2 sources. How we write summaries →

IMPACT Sets a new benchmark for localized multimodal AI adaptation, potentially influencing future domain-specific model development.

RANK_REASON Publication of a technical report detailing a new multimodal foundation model.

Read on Hugging Face Daily Papers →

COVERAGE [2]

  1. Hugging Face Daily Papers TIER_1 ·

    Phoenix-VL 1.5 Medium Technical Report

    We introduce Phoenix-VL 1.5 Medium, a 123B-parameter natively multimodal and multilingual foundation model, adapted to regional languages and the Singapore context. Developed as a sovereign AI asset, it demonstrates that deep domain adaptation can be achieved with minimal degrada…

  2. arXiv cs.CV TIER_1 · Yimu Pan ·

    Phoenix-VL 1.5 Medium Technical Report

    We introduce Phoenix-VL 1.5 Medium, a 123B-parameter natively multimodal and multilingual foundation model, adapted to regional languages and the Singapore context. Developed as a sovereign AI asset, it demonstrates that deep domain adaptation can be achieved with minimal degrada…