Sahabat-AI/Llama-Sahabat-AI-v2-70B-IT is a 70 billion parameter decoder-only large language model developed by PT GoTo Gojek Tokopedia Tbk and AI Singapore, instruct-tuned for Indonesian languages. Utilizing the Llama 3.1 tokenizer, it supports English, Indonesian, Javanese, Sundanese, Batak Toba, and Balinese, with a context length of 128k tokens. This model is specifically optimized for local Indonesian contexts and multilingual instruction-following, evaluated on benchmarks like IndoMMLU and SEA-HELM.
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