Pure MLX Engine Hits 65 tok/s, Cuts Model Size in Half
EyalToledano · x · 2026-08-28
The author is building a pure MLX inference engine to bypass dependency constraints and maximize machine performance. Key wins so far include:
- Speed: Reached 65 tok/s with zero accuracy loss, aiming for 100+.
- Memory: Expert paging reduces model size from 39GB to 20GB.
Benchmarks show Qwen3.8-Flash-Next-REAP variants maintain high HumanEval scores while significantly reducing resident memory.
Related event: Developer Prunes 180B-class Qwen MoE to Fit in 48GB of Mac Memory(9 posts)→
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