koutch/short_paper_llama_0.json_train_dpo_v2_dev
The koutch/short_paper_llama_0.json_train_dpo_v2_dev model is an 8 billion parameter Llama 3.1 instruction-tuned causal language 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 for broad applicability.
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Model Overview
The koutch/short_paper_llama_0.json_train_dpo_v2_dev is an 8 billion parameter language model, fine-tuned 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: Utilizes Unsloth and Huggingface's TRL library for 2x faster training, suggesting an optimized fine-tuning process.
- License: Distributed under the Apache-2.0 license, allowing for broad use and modification.
Intended Use Cases
This model is suitable for a variety of instruction-following tasks, benefiting from its Llama 3.1 lineage and efficient fine-tuning. Its 8 billion parameters make it a capable choice for applications requiring a balance of performance and computational efficiency.