SPACEJACO/smp_unsloth_llama3_model-16bits
The SPACEJACO/smp_unsloth_llama3_model-16bits is an 8 billion parameter Llama 3 instruction-tuned model developed by SPACEJACO. It was fine-tuned from unsloth/llama-3-8b-Instruct-bnb-4bit using Unsloth and Huggingface's TRL library, enabling 2x faster training. This model is optimized for efficient and accelerated fine-tuning workflows, making it suitable for developers seeking performance in Llama 3 applications.
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Model Overview
The SPACEJACO/smp_unsloth_llama3_model-16bits is an 8 billion parameter Llama 3 instruction-tuned model, developed by SPACEJACO. It is based on the unsloth/llama-3-8b-Instruct-bnb-4bit model and was fine-tuned using the Unsloth library in conjunction with Huggingface's TRL library.
Key Characteristics
- Architecture: Llama 3 instruction-tuned model.
- Parameter Count: 8 billion parameters.
- Training Efficiency: Leverages Unsloth for 2x faster training compared to standard methods.
- Base Model: Fine-tuned from
unsloth/llama-3-8b-Instruct-bnb-4bit. - License: Released under the Apache-2.0 license.
Use Cases
This model is particularly well-suited for developers and researchers who require an efficient and accelerated fine-tuning process for Llama 3 models. Its optimization with Unsloth makes it a strong candidate for applications where rapid iteration and deployment of instruction-tuned Llama 3 capabilities are crucial.