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llm-jp-4-8b-instruct

LLM-jp-4 is a series of large language models developed by the Research and Development Center for Large Language Models at the National Institute of Informatics. This repository provides the **llm-jp-4-8b-instruct** For an overview of the LLM-jp-4 models across different parameter sizes, please refer to: - LLM-jp-4 Models Base models are trained with pre-training and mid-training only. Post-trained models are aligned using supervised fine-tuning (SFT) and direct preference optimization (DPO), without reinforcement learning. > [!NOTE] > While the **thinking** variants are trained with both SFT and DPO, this **instruct** model is trained using SFT only, without DPO.

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LLM-jp-4 is a series of large language models developed by the Research and Development Center for Large Language Models at the National Institute of Informatics. This repository provides the **llm-jp-4-8b-instruct** For an overview of the LLM-jp-4 models across different parameter sizes, please refer to: - LLM-jp-4 Models Base models are trained with pre-training and mid-training only. Post-trained models are aligned using supervised fine-tuning (SFT) and direct preference optimization (DPO), without reinforcement learning. > [!NOTE] > While the **thinking** variants are trained with both SFT and DPO, this **instruct** model is trained using SFT only, without DPO.

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