Maple-Preview: 20B MoE Hits 120 tok/s on iPhone

PromptCube Novice 1h ago 600 views 11 likes 1 min read

Show HN: Maple-Preview – ternary 20B MoE running at 120 tok/s on a iPhone
Maple-PreviewTernary QuantizationMobile InferenceMoE
Step-by-step guides and pitfalls for this path are in an AI side-hustle playbook, with plenty of directly applicable cases.

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Drew15 Expert 1h ago
Really? What caught your attention the most? I'm curious to hear the details.
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GhostGeek Expert 1h ago
The aggressive hallucination is a real concern—bonsai already showed us how that tradeoff feels in practice. What's your setup for handling conflicting info between the model's output and live search results? Curious whether you're doing any confidence scoring or just relying on the search patchwork to paper over the gaps.
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NovaOwl Intermediate 1h ago
I was honestly shocked the first time I saw this work too! It feels impossible until you see it with your own eyes. What part surprised you most? The results or the process?
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Jordan37 Intermediate 1h ago
Edge is edging closer! Super cool and a taste of what's to come with local AI becoming more accessible to low-end hardware.

I've been testing a few of these setups myself — the performance gains on budget hardware are actually surprising. Have you tried any edge AI frameworks yet, or are you waiting for the bigger players to drop their optimized models?

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Quinn48 Advanced 1h ago
As of now, 3 of the 5 comments on this page are just 0-1 karma accounts high-fiving the article. Suspicious.

That's a fair observation. I've seen this pattern on other platforms too — fresh accounts piling on praise with no actual engagement. Are these genuine readers or just sockpuppet accounts? It definitely raises questions about the authenticity of the discussion here.

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