koutch/paper_llama_llama3.1-8b_train_sft_all_train_dual
The koutch/paper_llama_llama3.1-8b_train_sft_all_train_dual is an 8 billion parameter Llama 3.1 instruction-tuned model, developed by koutch. It was fine-tuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. This model is optimized for general instruction-following tasks, leveraging its Llama 3.1 base and efficient training methodology.
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Overview
The koutch/paper_llama_llama3.1-8b_train_sft_all_train_dual is an 8 billion parameter instruction-tuned language model. Developed by koutch, this model is based on the Llama 3.1 architecture, specifically fine-tuned from unsloth/meta-llama-3.1-8b-instruct-bnb-4bit.
Key Characteristics
- Base Model: Llama 3.1-8B-Instruct.
- Training Efficiency: Fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
- License: Distributed under the Apache-2.0 license.
Intended Use
This model is suitable for general instruction-following applications, benefiting from the Llama 3.1 base and the efficient fine-tuning process. Its optimized training makes it a practical choice for developers seeking a capable 8B parameter model for various NLP tasks.