> I run open-weight models on boxes I own — NVIDIA Spark, ASUS GX10, Grok, local agents — then write what worked. No brochure. Games included.
Local AI leads: open-weight models on hardware I actually own, plus Grok, vibe coding, and the games that come out of that stack. Marketing archives stay in the hubs — they are not the front door.
Open-weight models, local inference stacks, VRAM planning, and homelab setups for running AI on your own hardware.
Open hub From the labSmall browser games shipped from the same stack — including Moon Trail, built with a local agent.
Open hubIn-depth reviews, comparisons, and guides for the latest AI tools reshaping how we work and create.
Open hubSEO strategies, content marketing insights, and growth tactics for the AI-powered marketing landscape.
Open hubBreaking developments in AI, cloud computing, data centers, and the future of technology.
Open hubAngelSlim posted Hy4-preview GGUFs. Smallest card size is 213.66 GiB. Still not a GX10 sit. Stock llama.cpp does not run them.
Read full articleXHToken posted Spark-X2.5 4B and 1.7B under Apache 2.0. Official 4B BF16 is 8.23 GB of weights. That fits a GX10. Native 1M is claimed. I have not timed it, and this is not NVIDIA Spark.
DeepSeek-V4-Flash-Vision-Exp is real weights. Unsloth GGUFs now include IQ1_S at 82.44 GB. llama.cpp PR 28133 is merged. Still not a GX10 sit.
Tencent posted Hy4-preview on Aug 28: 770B / 49B active, Apache 2.0. Official usedStorage is 1.56 TB. Official FP8 is 814 GB. No public GGUF. Not a GX10 sit.
Qwen posted Flash-Next on Aug 26: 125B / 6B active, plus 51B n-gram and 4B MTP. Official BF16 is 360 GB. Unsloth GGUFs landed; the smallest is 72.5 GB and still not a GX10 sit.
Local AI, vibe coding, real hardware
Open-weight models on hardware I own. Grok and local agents when they earn it. Skeptical of the brochure.
Read Full BioHardware unboxings, local-model runs, Grok experiments, and the occasional cookie bet.
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