Unsloth 免费 notebook 训练 Decision 模型
You can now train your own Decision model with our free notebook! 💡
你现在可以用我们的免费 notebook 训练自己的 Decision 模型！💡 Qwen3.5-4B 只需本地 8GB VRAM，就能生成决策而非文本。 学习数据准备（状态、问题、标准答案）、训练、部署。
查看原帖You can now train your own Decision model like Jev locally! We increased Qwen3.5 0.8B’s aggregate accuracy from 20.7% to 74.3% across 3 decision benchmarks - on just 4GB VRAM. Turn any LLM like Qwen3.8, Gemma 4 into decision models with our open-source Unsloth repo. We fine-tuned with a Clef head using Unsloth and LoRA (r=64) for one epoch, increasing…
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You can now train your own Decision model like Jev locally! We increased Qwen3.5 0.8B’s aggregate accuracy from 20.7% to 74.3% across 3 decision benchmarks - on just 4GB VRAM. Turn any LLM like Qwen3.8, Gemma 4 into decision models with our open-source Unsloth repo. We fine-tuned with a Clef head using Unsloth and LoRA (r=64) for one epoch, increasing downstream accuracy from 30–37% to 78%. GitHub: https://t.co/2kXqhhvLsb Guide and Notebooks: https://t.co/qACsYehl1n
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You can now train your own Decision model with our free notebook! 💡
Qwen3.5-4B will generate decisions instead of text on just 8GB VRAM locally.
Learn to data prep (state, questions, gold answers), train, serve.