LLM: ollama bahasa-4b-chat: Difference between revisions
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Created page with "Sumber: https://ollama.com/bangundwir/bahasa-4b-chat ==Model Developers== Bahasa AI ==Intended Use== This model is intended for various NLP tasks that require understandin..." |
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Bahasa-4b was trained on a 10 billion subset data of Indonesian dataset from a collected pool of 100 billion. | Bahasa-4b was trained on a 10 billion subset data of Indonesian dataset from a collected pool of 100 billion. | ||
==Pull== | |||
Mungkin bisa di coba | |||
ollama pull bangundwir/bahasa-4b-v2 | |||
ollama pull Bahasalab/Bahasa-4b-chat | |||
ollama pull bangundwir/Bahasa-4b-chat.GGUF | |||
Latest revision as of 23:46, 18 September 2024
Sumber: https://ollama.com/bangundwir/bahasa-4b-chat
Model Developers
Bahasa AI
Intended Use
This model is intended for various NLP tasks that require understanding and generating Indonesian language. It is suitable for applications such as question answering, sentiment analysis, document
summarization, and more.
Training Data
Bahasa-4b was trained on a 10 billion subset data of Indonesian dataset from a collected pool of 100 billion.
Pull
Mungkin bisa di coba
ollama pull bangundwir/bahasa-4b-v2 ollama pull Bahasalab/Bahasa-4b-chat ollama pull bangundwir/Bahasa-4b-chat.GGUF
