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Vladimir Vasilenko
VladimirVasilenko
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https://medium.com/@b102e
b102e
AI & ML interests
hobbyist researcher
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VladimirVasilenko/yar-attractor
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about 1 month ago
VladimirVasilenko/yar-attractor
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You can now fine-tune Gemma 4 for free with our notebooks! ๐ฅ 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
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Running
Yar Attractor
๐ข
Identity as Attractor: geometric evidence that a cognitive
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YAR
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