WendyHui/food-waste-llama3-merged
The WendyHui/food-waste-llama3-merged is an 8 billion parameter Llama 3-based instruction-tuned causal language model developed by WendyHui. This model was fine-tuned from unsloth/llama-3-8b-Instruct-bnb-4bit using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is designed for general language tasks, leveraging the Llama 3 architecture for efficient processing and generation.
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Model Overview
The WendyHui/food-waste-llama3-merged is an 8 billion parameter language model, fine-tuned by WendyHui. It is based on the Llama 3 architecture, specifically fine-tuned from the unsloth/llama-3-8b-Instruct-bnb-4bit model.
Key Characteristics
- Architecture: Llama 3-based, leveraging the
llama-3-8b-Instructfoundation. - Training Efficiency: Fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
- Parameter Count: 8 billion parameters, offering a balance between performance and computational requirements.
- License: Distributed under the Apache-2.0 license.
Intended Use Cases
This model is suitable for a variety of general-purpose natural language processing tasks, benefiting from the instruction-tuned Llama 3 base. Its efficient fine-tuning process suggests it could be a good candidate for applications requiring a capable language model with optimized development cycles.