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Jevin Sweval's picture
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Jevin Sweval

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reacted to danielhanchen's post with ๐Ÿ‘ 3 days ago
You can now fine-tune Qwen3.5 for free with our notebook! ๐Ÿ”ฅ 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
upvoted a paper 3 days ago
Qwen3-Coder-Next Technical Report
liked a dataset 23 days ago
bigcode/santacoder-fim-task
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