areef44/llama3.1-8b-alpaca-id-dicoding
The areef44/llama3.1-8b-alpaca-id-dicoding model is an 8 billion parameter Llama 3.1 variant, fine-tuned by areef44 using Unsloth and Huggingface's TRL library. This model leverages efficient training techniques to achieve faster fine-tuning. It is designed for general language understanding and generation tasks, building upon the Llama 3.1 architecture.
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Model Overview
The areef44/llama3.1-8b-alpaca-id-dicoding is an 8 billion parameter language model, fine-tuned by areef44. It is based on the Llama 3.1 architecture and was developed using unsloth/llama-3.1-8b-unsloth-bnb-4bit as its base model.
Key Characteristics
- Architecture: Llama 3.1
- Parameter Count: 8 billion parameters
- Training Efficiency: Fine-tuned using Unsloth and Huggingface's TRL library, enabling 2x faster training compared to standard methods.
- Context Length: Supports a context length of 32768 tokens.
Intended Use
This model is suitable for a variety of natural language processing tasks, benefiting from the Llama 3.1 base and efficient fine-tuning. Its optimized training process makes it a practical choice for applications requiring a capable 8B parameter model.