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AI Models 84759

• FinOLMo-13B↗

  HPLT

• acquisition_generator_AS_tracin_mmlupro_qwen3b↗

  ishikaa

• dummy-diff-tokenizer↗

  julien-c

• Muse-Glimmer-30B-oQ4e↗

  Jundot

• ltx2-cakeify↗

  kabachuha

• yolov8m-painting-classification↗

  keremberke

• task-1-Qwen-Qwen1.5-7B↗

  l8623001

• rwkv-6-finch-14b-gguf↗

  latestissue

• Hy-MT2-1.8B↗

  litert-community

• llm-jp-4-8b-instruct↗

  llm-jp

  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.