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Vladimir Vasilenko PRO

VladimirVasilenko
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https://medium.com/@b102e

AI & ML interests

Building a persistent AI agent. Author of “YAR: An Experiment in Building an AI That Exists in Time.”

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repliedto danielhanchen's post about 21 hours ago
You can now fine-tune Gemma 4 for free with our notebooks! 🔥 You just need 8GB VRAM to train Gemma 4 locally! Unsloth trains Gemma4 1.5x faster with 50% less VRAM. GitHub: https://github.com/unslothai/unsloth Guide + Notebooks: https://unsloth.ai/docs/models/gemma-4/train
reacted to danielhanchen's post with 🔥 about 21 hours ago
You can now fine-tune Gemma 4 for free with our notebooks! 🔥 You just need 8GB VRAM to train Gemma 4 locally! Unsloth trains Gemma4 1.5x faster with 50% less VRAM. GitHub: https://github.com/unslothai/unsloth Guide + Notebooks: https://unsloth.ai/docs/models/gemma-4/train
published a bucket about 21 hours ago
VladimirVasilenko/YAR
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