unbug

@unbug

Local LLM V100 96G & enjoy Omarchy; Tday unbug.github.io/tday/ ; CODELF (Github star 14k); MIHTool (Mentioned in Google I/O'13)

Los Angeles, CA

Pinned
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@unbug
Oct 17
We just hit 300 members today—woke up to 100+ new people joining overnight. Come join these top DIY hackers using extreme optimization to make old hardware run Qwen3.8-Flash and GLM5.3-Flash. 🚀
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@unbug
Oct 2
Just a bit of insight: people are eager to build their own rigs for local LLMs, the same way we were obsessed with building gaming PCs 30 years ago. x.com/i/chat/group_j…
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@unbug
4h
Must have @coldniko 😎🔥
Zhijian Liu
@zhijianliu
6h
⚡️ Along with this version, we've also released our DFlash 2 drafter for Qwen3.8-Flash-Next! huggingface.co/incoai/Qwen3.8…
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@unbug
14h
In China, a Mac Studio M5 Ultra with 512GB costs about the same as BYD’s hottest new SUV or sedan. Imagine that: the price of a car almost any family can afford now buys you the ability to deploy world-class SOTA models at home. A few years ago, that picture would have been
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@unbug
15h
Good news: 512K context with DeepSeek-V4.1-Flash 1017 IQ1 runs easily on my 192GB RAM + 96GB VRAM. Bad news: only 11 TPS decode. Oh boy—llama.cpp 😅
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@unbug
17h
This great man deserves to be followed—come on, guys.
Michael Helcig
@mhelcig
19h
Our largest model yet. 763B parameters, compressed with GSQ-RCO and co-optimized with Strata (by @coldniko) for local inference. On Hugging Face this Friday. Much more is coming. Follow us for future releases.
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