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huggingworld

huggingworld
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https://gitlab.com/huggingworld

AI & ML interests

NLP and Vision

Recent Activity

reacted to danielhanchen's post with 🚀 30 minutes ago
You can now fine-tune Qwen3.5 for free with our notebook! 🔥 You just need 5GB VRAM to train Qwen3.5-2B LoRA locally! Unsloth trains Qwen3.5 1.5x faster with 50% less VRAM. GitHub: https://github.com/unslothai/unsloth Guide: https://unsloth.ai/docs/models/qwen3.5/fine-tune Qwen3.5-4B Colab: https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen3_5_(4B)_Vision.ipynb
reacted to danielhanchen's post with 🔥 30 minutes ago
You can now fine-tune Qwen3.5 for free with our notebook! 🔥 You just need 5GB VRAM to train Qwen3.5-2B LoRA locally! Unsloth trains Qwen3.5 1.5x faster with 50% less VRAM. GitHub: https://github.com/unslothai/unsloth Guide: https://unsloth.ai/docs/models/qwen3.5/fine-tune Qwen3.5-4B Colab: https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen3_5_(4B)_Vision.ipynb
reacted to danielhanchen's post with 👍 30 minutes ago
You can now fine-tune Qwen3.5 for free with our notebook! 🔥 You just need 5GB VRAM to train Qwen3.5-2B LoRA locally! Unsloth trains Qwen3.5 1.5x faster with 50% less VRAM. GitHub: https://github.com/unslothai/unsloth Guide: https://unsloth.ai/docs/models/qwen3.5/fine-tune Qwen3.5-4B Colab: https://colab.research.google.com/github/unslothai/notebooks/blob/main/nb/Qwen3_5_(4B)_Vision.ipynb
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