zitaqiy/Llama-3.1-8B-Alpaca-Indo-LR2e4
zitaqiy/Llama-3.1-8B-Alpaca-Indo-LR2e4 is an 8 billion parameter Llama 3.1 model developed by zitaqiy, fine-tuned from unsloth/llama-3.1-8b-unsloth-bnb-4bit. This model was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training. It is designed for general language generation tasks, leveraging the Llama 3.1 architecture for efficient performance.
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Model Overview
zitaqiy/Llama-3.1-8B-Alpaca-Indo-LR2e4 is an 8 billion parameter language model developed by zitaqiy. It is fine-tuned from the unsloth/llama-3.1-8b-unsloth-bnb-4bit base model, leveraging the Llama 3.1 architecture.
Key Characteristics
- Base Model: Fine-tuned from Llama 3.1-8B.
- Training Efficiency: The model was trained 2x faster using the Unsloth library in conjunction with Huggingface's TRL library.
- Developer: Developed by zitaqiy.
- License: Distributed under the Apache-2.0 license.
Intended Use Cases
This model is suitable for general language generation and understanding tasks, benefiting from the Llama 3.1 foundation and optimized training process. Its efficient training suggests potential for applications where rapid iteration or deployment of Llama 3.1-based models is beneficial.