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
- Base Model: unsloth/Llama-3.2-1B-Instruct-bnb-4bit
- Pipeline Tag:
text-generation
- Tags:
nlp
unsloth
trl
sft
- Language:
id
(Indonesian)
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.
- Downloads last month
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Model tree for Fyandono/chatbot-id
Base model
meta-llama/Llama-3.2-1B-Instruct
Quantized
unsloth/Llama-3.2-1B-Instruct-bnb-4bit