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User questions quality of small-sample AI model distillations

A Reddit user is questioning the effectiveness of current model distillation techniques, particularly those using a small number of samples like 250. They recall a positive instance with Qwen R1 8B but haven't found other distilled models to be superior to their base versions since then. The user expresses skepticism about whether new models like Mythos or GPT-5.6 will yield significant improvements through such limited distillation, lamenting the perceived decline in quality for these methods. AI

IMPACT Raises questions about the practical utility and quality improvements offered by current AI model distillation methods.

RANK_REASON User opinion piece discussing AI model distillation techniques.

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/Whydoiexist2983 ·

    I can't wait for all the x250 sample distills of Mythos and GPT-5.6

    <!-- SC_OFF --><div class="md"><p>Just kidding.</p> <p>Are there any distills that actually improve a model's quality? I remember the Qwen R1 8B distill improved the model, but since then, I don't remember ever using a distilled model that was better than the base model. Unless M…