dimasik87/llama-3-8b
The dimasik87/llama-3-8b is an 8 billion parameter Llama 3 model, fine-tuned from unsloth/llama-3-8b-Instruct-bnb-4bit. Developed by dimasik87, this model was trained 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 performance.
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Model Overview
The dimasik87/llama-3-8b is an 8 billion parameter Llama 3 model, developed by dimasik87. It is fine-tuned from the unsloth/llama-3-8b-Instruct-bnb-4bit base model, indicating its foundation in the Llama 3 instruction-tuned architecture.
Key Characteristics
- Architecture: Llama 3, 8 billion parameters.
- Training Efficiency: This model was trained with Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
- License: Released under the Apache-2.0 license.
Intended Use Cases
This model is suitable for a variety of general language generation and understanding tasks, benefiting from the Llama 3 instruction-tuned base. Its efficient training process suggests it could be a good candidate for applications requiring a capable 8B parameter model with a focus on optimized development workflows.