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It could be Qwen 3.5 397B-A17B (MoE) or Qwen 3.5 27B dense- both score comparably on the Artificial Analysis Intelligence Index (AAII). Lumo should come clean about exactly which models are being served at which quants; this surely isn't a state secret. The context window is obviously capped at 128K. I'd like to know if we're being served at least Q4_K_M - ideally better.
Given that GLM 5.2 has a 1M-token context window and Qwen 3.5 supports up to 1M via scaling (with 262K native), being served 128K makes quant quality all the more important. I'd like some assurance it's not IQ2_XS or similar.
I'm trialling Lumo AI and have paid for a month to test it. So far... results are mixed, trending towards good.
Issues:
I'm trialling Lumo because its privacy stance is appealing (and I cannot run GLM 5.2 or 397B on-device), but the issues above are dampening my enthusiasm. They're all fixable. So please, Proton team, take this as critical (paid) user feedback. @ProtonPrivacy@lemmy.world