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Muche

Truc95
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reacted to merve's post with 😎 about 1 month 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 about 1 month ago
HuggingFaceTB/SmolVLM-Instruct:Best option for DocQVA->JSON
new activity about 2 months ago
HuggingFaceM4/Idefics3-8B-Llama3:Any Idea When This Will Be Supported in TGI?
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liked a model 2 months ago