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Burning ray

adarksky

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reacted to merve's post with 🔥 22 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 about 1 month ago

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

updated a model about 1 month ago

adarksky/pokemon-DDPM

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adarksky's activity

upvoted a collection 3 months ago

Molmo

Artifacts for open multimodal language models. • 5 items • Updated 27 days ago • 289

upvoted a paper 3 months ago

Robust Dual Gaussian Splatting for Immersive Human-centric Volumetric Videos

Paper • 2409.08353 • Published Sep 12 • 10