ML beginner seeks advice on 3B vs 7B model for multi-task reasoning fine-tuning

A self-taught individual is seeking advice on fine-tuning a language model for a complex multi-task reasoning project. The user needs to determine if a 3 billion or 7 billion parameter model, such as Phi-4-mini or Qwen 2.5, would be more suitable for tasks involving identifying underlying questions, holding multiple perspectives, and discerning critical information from noise. They have a dataset of 40-60k examples and are concerned about potential confusion between related reasoning modes and the difficulty of training such tasks. AI

影响 Guidance for fine-tuning smaller models on complex reasoning tasks.

排序理由 User is asking for advice on fine-tuning a model for a specific research task.

在 r/MachineLearning 阅读 →

• LoRA
• Phi-4-mini
• Qwen 2.5

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