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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gigant/tib-bench-mm-part4
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gigant/tib-bench-mm-filtering-part2
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models
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gigant/SmolLM-mc4-500-rawrope
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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
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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
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gigant/SmolLM-135M-full-unjetlagged-200-steps
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datasets
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gigant/tib-bench-mm-part4
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gigant/tib-bench-mm-filtering-part2
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gigant/tib-bench-mm-part3
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gigant/tib-bench-mm-part2
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gigant/tib-bench-text-eights
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gigant/tib-bench-mm-filtering
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gigant/tib-bench-mm-test
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gigant/tib_slides
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gigant/tib-bench-text
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gigant/cnn_dailymail_oreo_jinacolbertv2_0.5k_late_chunking
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