Vladimir Vasilenko PRO
VladimirVasilenko
Β·
AI & ML interests
Building a persistent AI agent. Author of βYAR: An Experiment in Building an AI That Exists in Time.β
Recent Activity
repliedto danielhanchen's post about 14 hours ago
You can now fine-tune Gemma 4 for free with our notebooks! π₯
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 π₯ about 14 hours ago
You can now fine-tune Gemma 4 for free with our notebooks! π₯
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 14 hours ago
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