Design choices for Vision Language Models in 2024
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Théo Gigant
gigant
AI & ML interests
multimodal summarization, generative models
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a model
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google/siglip-so400m-patch16-256-i18n
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huggan/wikiart-diffusion-mini
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huggan/wikiart-diffusion-mini
Articles
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models
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gigant/SmolLM-mc4-500-rawrope
Text Generation
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gigant/SmolLM-mc4-500-ropescaled
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gigant/SmolLM-500-rawrope
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gigant/SmolLM-500-ropescaled
Text Generation
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gigant/SmolLM-135M-ft-500-steps
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gigant/SmolLM-135M-rescaled-ft-500-steps
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gigant/SmolLM-135M-unjetlagged-200-steps
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gigant/SmolLM-135M-full-unjetlagged-2000-steps
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gigant/SmolLM-135M-full-jetlagged-200-steps
Text Generation
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gigant/SmolLM-135M-full-unjetlagged-200-steps
Text Generation
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datasets
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gigant/pdfvqa
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gigant/tib
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gigant/pdfvqa-test
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gigant/pdfvqa-test-img
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gigant/command-r-plus-generated-qa
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gigant/arxiv_summarization
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gigant/robust_long_abstractive_human_annotation
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gigant/tib_dependency
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gigant/tib_dependency_graphs_v2
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gigant/tib_dependency_graphs
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