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
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IMPACT Guidance for fine-tuning smaller models on complex reasoning tasks.
RANK_REASON User is asking for advice on fine-tuning a model for a specific research task.