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InferenceMultiple choiceEasy

Your eval pipeline samples 16 answers of about 300 tokens to each question, all behind the same 6,000-token few-shot prompt, and keeps the best one.

Profiling shows most GPU time and KV-cache memory go to prefill, since each of the 16 requests processes and stores the prompt separately.

What would you change first?