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- 00owlvit.kit
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An object detection model
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ModelDatasetsCodebasesDocsConfiguration - 00owlvit-base-patch32
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ModelDatasetsCodebasesDocsConfiguration - 00owl-vit
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An object detection model
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ModelDatasetsCodebasesDocsConfiguration - 11omniparser-v2.0
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ModelDatasets2Codebases1DocsConfiguration - 112object-detection-models
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ModelDatasets1CodebasesDocsConfiguration - 00mydata
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ModelDatasetsCodebasesDocsConfiguration - 42movie-streaming-models
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Model2Datasets1CodebasesDocsConfiguration - 152movie-recommend
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Model2Datasets1CodebasesDocsConfiguration - 621mmlu-dataset
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Model1Datasets2CodebasesDocsConfiguration - 6K+8mixtral-8x7b
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ModelDatasets6CodebasesDocsConfiguration - 00mixtral-8x22b
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ModelDatasetsCodebasesDocsConfiguration - 5K+8mistral_v0.3-7b
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ModelDatasets7CodebasesDocsConfiguration - 5K+8mistral_v0.1-7b
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ModelDatasets6CodebasesDocsConfiguration - 1K+8mistral-7b
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ModelDatasets6CodebasesDocsConfiguration - 00microsoft_phi-4
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phi-4 is a state-of-the-art open model built upon a blend of synthetic datasets, data from filtered public domain websites, and acquired academic books and Q&A datasets. The goal of this approach was to ensure that small capable models were trained with data focused on high quality and advanced reasoning. phi-4 underwent a rigorous enhancement and alignment process, incorporating both supervised fine-tuning and direct preference optimization to ensure precise instruction adherence and robust safety measures
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