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EUC enthusiast, Senior SWE (Go/Python/PHP), drum & bass producer, dj, bot coach

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Побочными эффектами с поиском работы прилетают всякие кринжовые сообщения в линкедин, буду их собирать тут

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@i_am_vladyslav @m_urbanist Да было бы офигенно чтобы это было общее окно, можно будет с соседом за руку здороваться утром.

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@fetirar Цепочки цитируют всю переписку в каждом письме, умножая их вес и сложность процессинга.

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@GinjaReloaded That how we teach the Resistance!

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@lmstudio Ah, Locally AI trimmed

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@ljupc0 @MrPeterLMorris @antirez @0xSero It doesn't work out of the box, but needs fairly lightweight patch to run it. The difference is topology: REAP models have different number of experts and ds4 must be aware of it.

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I am running DeepSeek V4 Flash on Apple M2 Max 64GB locally.

Thanks @antirez for DwarfStar and thanks @0xSero for his smaller REAP checkpoint of DeepSeek V4 Flash.

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@alexocheema Nihao ma!

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@k3ntosan @antirez @0xSero In general, quantization error is washed out as the number of parameters increases. But REAP also contributes. So yeah, it might be frustrating sometimes, but still, unbeatable in many aspects.

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@Edouardmazza @antirez @0xSero Aside from downloading a gguf, all I did to support it was ask Codex to add the custom model topology, which has fewer experts than the original. It then built and ran without a hitch.

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@WhatsTrue8 @antirez @0xSero No, unless @0xSero would cook half the size of the smallest REAP. It doesn't make much sense, though. You can totally run a dense model that fits in your machine and definitely would be a better choice for you, like Qwen 3.6 27B in 8 bit.

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@synapticity @antirez @0xSero Just ran ds4eval. Original Q2 results are listed in repo and its full pass.
However, this one fails two out of four.

ds4-eval: 2/4 passed, 2 failed, runtime 00h:11m

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@cguldogan @antirez @0xSero Now I'm curious how fast it can get.

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@0xSero @trashpandaemoji @antirez Fine by me, but, to be honest, it might become a blocker for naturally multilingual use cases, such as creative writing, RP, and document processing kind of work.

[Enlarge Your Genus @WaveCut]

@trashpandaemoji @antirez @0xSero Definitely degrades on non-english prompts (as tested with Cyrillic input), but I didn't tested it much, yet.

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@MrPeterLMorris @antirez @0xSero https://t.co/X0fMMGiBM7

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@thsottiaux In the middle of the non reversible app migration. Great!

[Steven Cheng @stevencheng]

The World's full open source Smallest Desktop-Scale Two-Wheeled Robot.
Github: MuShibo/Micro-Wheeled_leg-Robot

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@Prince_Canuma neat!

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@ivanfioravanti It is basically DGX spark with different io pinout

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@rezoundous There will be lunch, definitely. Not sure about models though.