Timeline
Archives.
All posts grouped by year and month.
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Lucebox on Olares One — Episode 7: Issue #187, PR #188, and 6 hooks fixed in one go
The bug is identified: 6 hooks in HAMi-core ignore the return value of cuCtxGetDevice. The fix is 50 lines. But for the entire HAMi community to benefit, it has to go upstream. Here's how that played out.
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Lucebox on Olares One — Episode 6: We read the HAMi-core source and we find 6 bugs
NO_VMM doesn't fix anything. The `Illegal device id` bug comes back every run. Time to read the HAMi-core source. And what we find is not a single bug — it's a systemic pattern across 6 different hooks.
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Lucebox on Olares One — Episode 5: The runtime slams the door with a negative device id
Image pushed, pod deployed, models downloaded. Everything is ready. Then HAMi vGPU dumps `Illegal device id: -644371744` on every boot, with a random number that changes each run. Smells like uninitialized stack from a mile away.
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Lucebox on Olares One — Episode 4: The llama-server submodule serves it up to you 1h later
test_dflash compiles, great. But to serve over HTTP I need llama-server, which compiles from the submodule. And the submodule has its own cmake invocation — where I forgot to add -rpath-link. And boom, 1h later, here we go again.
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Lucebox on Olares One — Episode 3: LIBRARY_PATH isn't what you think it is
We added LIBRARY_PATH and a libcuda.so.1 symlink, fired off another 2h compile, and ld dropped the same error. Why? Because LIBRARY_PATH doesn't resolve indirect dependencies. You need -Wl,-rpath-link.
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Lucebox on Olares One — Episode 2: 2h of CUDA compile for 11 undefined references
First Docker build. 2h13 of CUDA compile for sm_120, and at link time, ld dumps 11 undefined references to cuMemCreate, cuMemMap, cuMemAddressReserve. Why? Because libcuda.so.1 isn't where it should be.
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Lucebox on Olares One — Episode 1: 134 t/s on RTX 3090, what about my rig?
You're scrolling r/LocalLLaMA, you see a post claiming 134 t/s on Qwen3.6-27B with an RTX 3090 thanks to Lucebox. Of course you want to try it on your Olares One. Spoiler: it'll take 12 hours of compile time and 6 Docker builds. Episode 1.
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Why I picked an Olares One to run my LLMs
The actual decision process. Why not a Mac Studio, not a custom GPU PC, not cloud — and why an Olares One won out for a working dad who also wants to run local LLMs.
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Why DFlash on Qwen3.6-27B doesn't fit on a 24GB single GPU
Three paths tested (z-lab BF16, AEON-7 NVFP4, Lucebox custom). All need ≥26 GB. VRAM math, honest negatives, what to wait for on 24GB.
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Genesis on consumer Blackwell — TurboQuant unlocked for Qwen3.6-27B on 24GB
Sandermage Genesis patches validated on RTX 5090M (sm_120). TurboQuant 4-bit + MTP n=3 on Qwen3.6-27B → 60 t/s, 100K context, 177K KV tokens.
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Qwen3.6-27B at 85-100 t/s on a 24GB RTX 5090 Laptop GPU
Adapting the 32GB desktop and 24GB Ampere recipes to a 24GB Blackwell consumer mobile (sm_120) GPU. Custom vLLM image, AutoRound INT4, MTP n=3 — sustained 85-100 t/s with 75K context.
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