hendrimardani/fine-tuned-model-indoensian-2
The hendrimardani/fine-tuned-model-indoensian-2 is an 8 billion parameter Llama 3.1 model, fine-tuned by hendrimardani. This model was developed using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is designed for general language tasks, leveraging its Llama 3.1 architecture and efficient fine-tuning process.
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Model Overview
The hendrimardani/fine-tuned-model-indoensian-2 is an 8 billion parameter language model developed by hendrimardani. It is fine-tuned from the unsloth/llama-3.1-8b-unsloth-bnb-4bit base model, indicating its foundation in the Llama 3.1 architecture.
Key Characteristics
- Architecture: Based on the Llama 3.1 family, providing a robust foundation for various natural language processing tasks.
- Efficient Training: This model was fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
- Parameter Count: Features 8 billion parameters, balancing performance with computational efficiency.
Intended Use
This model is suitable for general language generation and understanding tasks, benefiting from its Llama 3.1 lineage and optimized fine-tuning. Its efficient development suggests it could be a good candidate for applications requiring a capable yet resource-conscious language model.