koutch/short_paper_llama_1.json_train_dpo_v3_train_no_think
The koutch/short_paper_llama_1.json_train_dpo_v3_train_no_think is an 8 billion parameter Llama 3.1 instruction-tuned causal language model, fine-tuned by koutch. It was trained 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 fine-tuning process.
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Model Overview
The koutch/short_paper_llama_1.json_train_dpo_v3_train_no_think is an 8 billion parameter instruction-tuned language model developed by koutch. It is based on the unsloth/meta-llama-3.1-8b-instruct-bnb-4bit model, indicating its foundation in the Llama 3.1 architecture.
Key Characteristics
- Base Model: Fine-tuned from Meta Llama 3.1 8B Instruct.
- Training Efficiency: The model was fine-tuned with Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
- License: Distributed under the Apache-2.0 license.
Use Cases
This model is suitable for a variety of general instruction-following tasks, benefiting from its Llama 3.1 foundation and efficient fine-tuning. Its optimized training process suggests potential for rapid iteration and deployment in applications requiring a capable 8B parameter model.