CoinWorld news, PrismML stated that it has compressed Alibaba's open-source model Qwen3.6-27B to approximately 4GB and successfully run it on iPhone 17 Pro. Qwen3.6-27B is a dense model with 27 billion parameters, where all parameters participate in computation during inference, rather than a MOE model that only activates some parameters. PrismML claims that the model size was reduced from about 54GB to less than 4GB without significant performance degradation, making it suitable for complex conversations, reasoning, agent, and coding tasks. Apple has reached out to PrismML to discuss applying this technology to its devices, although advanced Siri still relies on cloud-based models.

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PanicSellPaul
· 8h ago
Alibaba open-source + Apple interaction—this wave of domestic models is reverse-exporting to Silicon Valley. Feels great.
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CandleAfterTheRain
· 9h ago
54GB compressed to 4GB and still runnable on a phone, that compression ratio is insane. What black magic does PrismML use?
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LeverageWithdrawalInProgress
· 9h ago
27 billion parameters fully activated, not like MOE's shortcut approach. If it really didn't drop performance, Qwen3.6's foundation is indeed solid.
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