Llama-3.2-1B-Instruct-bnb-4bit (Indonesian Fine-tuned)

Overview

This is Llama-3.2-1B-Instruct, a fine-tuned model based on the Meta-Llama-3.2-1B-Instruct-bnb-4bit architecture. The model has been specifically trained on the Stanford Alpaca Instruction dataset, which has been translated into Indonesian. This fine-tuning enhances the model's ability to understand and generate responses in Indonesian, making it suitable for various language-specific tasks and instruction-following applications.

Features

Model Details

  • Trained using the Stanford Alpaca Instruction dataset translated into Indonesian.
  • Supports a wide range of text-generation and instruction-following tasks.
  • Designed with 4-bit quantization for efficient inference and deployment.
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Model size
1.24B params
Architecture
llama

4-bit

5-bit

8-bit

Inference Examples
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