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Burning ray

adarksky

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reacted to merve's post with 🔥 21 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

liked a model 30 days ago

Qwen/Qwen2.5-Coder-32B-Instruct

updated a model about 1 month ago

adarksky/pokemon-DDPM

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spaces 2

Summer24 Fine Tuning

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models 4

adarksky/pokemon-DDPM

Unconditional Image Generation • Updated Nov 11 • 31

adarksky/bart-base-rel-therapy

Text2Text Generation • Updated Nov 11 • 23

adarksky/president-gpt2

Text Generation • Updated Jul 4 • 18

adarksky/biden-gpt2

Text Generation • Updated Jul 3 • 11

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