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Unsloth shares free notebook for training a Qwen3.5-4B decision model

Unsloth says Qwen3.5-4B can generate decisions instead of text locally using 8GB of VRAM.

2 Sources, 50m ago, first seen 50m ago

TLDR

Unsloth shared a free notebook and guide for preparing data—states, questions and gold answers—then training and serving a Qwen3.5-4B decision model. It says the model can generate decisions instead of text locally on 8GB of VRAM.

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2 Sources

Hugging Models@HuggingModelsThis is a goldmine, bookmark worthy.50m
Daniel Han@danielhanchenRT @HuggingModels: This is a goldmine, bookmark worthy.39m
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    2 Sources

    Hugging Models@HuggingModelsThis is a goldmine, bookmark worthy.50m
    Daniel Han@danielhanchenRT @HuggingModels: This is a goldmine, bookmark worthy.39m
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