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README.md
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Gemma-SEA-LION-v4-27B has undergone post-training using a QA pairs dataset in Bahasa Indonesia,
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Burmese, Chinese, English, Khmer, Lao, Malay, Tagalog, Tamil, Thai, and Vietnamese, comprising approximately 10M samples in total, to create *Gemma-SEA-LION-v4-27B-IT*.
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Gemma-SEA-LION-v4-27B-IT inherits
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- Image and text understanding capabilities, including document comprehension, visual
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- Advanced function calling and structured
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## Model Details
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Gemma-SEA-LION-v4-27B has undergone post-training using a QA pairs dataset in Bahasa Indonesia,
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Burmese, Chinese, English, Khmer, Lao, Malay, Tagalog, Tamil, Thai, and Vietnamese, comprising approximately 10M samples in total, to create *Gemma-SEA-LION-v4-27B-IT*.
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Gemma-SEA-LION-v4-27B-IT inherits Gemma 3's:
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- Large 128K context length
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- Image and text understanding capabilities, including document comprehension, visual Q&A, and image-grounded reasoning
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- Advanced function calling and structured outputs to allow for seamless integration into larger systems
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## Model Details
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