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Openai/692bdd2b-98b4-8012-bcf8-fa145b46c56a
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=== π₯ 4. Real-World Behaviour for 16k Context === ===== MacBook Air M4 (24 GB) ===== * Loads the model. * First 8β10k tokens run fine. * Beyond 12kβ14k context β thermal + memory pressure β 10β20% slowdown. * Generation may drop from 18 t/s β 12β15 t/s under sustained load. ===== MacBook Air M4 (32 GB) ===== * Same peak speed * Much better stability * 16k context behaves cleanly with minimal slowdown * No meaningful thermal throttling at short bursts; long runs throttle ~5β10% ===== MacBook Pro M4 Pro ===== * Full 16k contexts are trivial * Stable 30β45 t/s even in long chats * No thermal drop * MLX can hold > 50 t/s stable on 20B-class ===== MacBook Pro M4 Max (36 GB) ===== * Highest throughput * Ideal for MLX * Zero throttling * Sustained 50β65 t/s for 20B
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