The Nusantara-1.8b-Indo-Chat model by Kalis AI is a 1.8 billion parameter, transformer-based decoder-only language model, fine-tuned from Qwen1.5 for Bahasa Indonesia. It is designed for chat-based applications, excelling in Question-Answering and instruction following in Indonesian. With a context length of 32768 tokens, it serves as a versatile open-weight model for Indonesian language processing.
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Nusantara-1.8b-Indo-Chat Overview
Nusantara-1.8b-Indo-Chat is a 1.8 billion parameter language model developed by Kalis AI, specifically fine-tuned for Bahasa Indonesia. It is built upon the Qwen1.5 architecture and leverages domain-specific datasets to enhance its performance in Indonesian language tasks. The model is designed to function as a chat-implemented language model, capable of handling Question-Answering and responding to instructions given in Bahasa Indonesia.
Key Capabilities
- Bahasa Indonesia Proficiency: Optimized for understanding and generating text in Bahasa Indonesia.
- Chat-based Interaction: Excels in conversational AI, including question-answering and instruction following.
- Multilingual Support: While primarily focused on Indonesian, it also supports English.
- Qwen1.5 Foundation: Benefits from the robust architecture of the Qwen1.5 language model series.
Important Considerations
- Hallucination Risk: As a model with less than 4 billion parameters, it may be prone to hallucination. Users should be aware of this limitation.
- Uncensored Training: The model was trained with uncensored datasets, which may lead to negative impacts. Users are responsible for the outcomes of its usage.
- License: Licensed under Apache-2.0, but usage must also comply with the Qwen License.
Good For
- Developing AI assistants and chatbots for the Indonesian market.
- Applications requiring instruction-following and Q&A in Bahasa Indonesia.
- Research and development in Indonesian natural language processing.