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6
6
21
Ivelin Ivanov
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ivelin
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ivelini
ivelin
AI & ML interests
computer vision, vision-language models, multi modal transformers
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ivelin/SmolVLM-Instruct-vqav2
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small but mighty 🔥 you can fine-tune SmolVLM on an L4 with batch size of 4 and it will only take 16.4 GB VRAM 🫰🏻 also with gradient accumulation simulated batch size is 16 ✨ I made a notebook that includes all the goodies: QLoRA, gradient accumulation, gradient checkpointing with explanations on how they work 💝 https://github.com/huggingface/smollm/blob/main/finetuning/Smol_VLM_FT.ipynb
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ivelin/SmolVLM-Instruct-vqav2
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ivelin/donut-refexp-combined-v1-backup
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ivelin/donut-refexp-draft-precision2decs-backup
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ivelin/donut-refexp-draft-precision2decs
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ivelin/donut-refexp-draft-backup
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ivelin/donut-refexp-draft
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ivelin/donut-docvqa-demo
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ivelin/donut-base-sroie
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ivelin/sroie_donut_processor
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ivelin/rico_refexp_combined
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ivelin/rico_sca_refexp_synthetic_flat
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ivelin/ui_refexp_saved
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ivelin/ui_refexp
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ivelin/processed_sroie_donut_dataset_train_test_split
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ivelin/processed_sroie_donut_dataset
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ivelin/processed_sroie_donut_dataset_json2token
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