Maple-Preview: 20B MoE Hits 120 tok/s on iPhone
Show HN: Maple-Preview – ternary 20B MoE running at 120 tok/s on a iPhone
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Step-by-step guides and pitfalls for this path are in an AI side-hustle playbook, with plenty of directly applicable cases.
All Replies (5)
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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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G
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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N
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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J
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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Q
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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