LLM: ollama bahasa-4b-chat: Difference between revisions

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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 Bahasalab/Bahasa-4b-chat
ollama pull bangundwir/Bahasa-4b-chat.GGUF

Revision as of 23:44, 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 Bahasalab/Bahasa-4b-chat
ollama pull bangundwir/Bahasa-4b-chat.GGUF