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Muche

Truc95

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reacted to merve's post with 😎 23 days ago

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

new activity 28 days ago

HuggingFaceTB/SmolVLM-Instruct:Best option for DocQVA->JSON

new activity about 1 month ago

HuggingFaceM4/Idefics3-8B-Llama3:Any Idea When This Will Be Supported in TGI?

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