HauhauCS/Qwen3.5-27B-Uncensored-HauhauCS-Aggressive
27B β’ Updated β’ 89.6k β’ 157
Jeremy Lee Shields
lastrosade
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liked a model 9 days ago
HauhauCS/Qwen3.5-27B-Uncensored-HauhauCS-Aggressive reacted to danielhanchen's post with π₯ 12 days ago
You can now fine-tune Qwen3.5 for free with our notebook! π₯
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 liked a dataset 19 days ago
nohurry/Opus-4.6-Reasoning-3000x-filteredOrganizations
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model 9 days ago
reactedto danielhanchen's post with π₯ 12 days ago
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You can now fine-tune Qwen3.5 for free with our notebook! π₯
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
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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