miaai35-tune
Measured llama.cpp flag/profile bakeoff for Qwen3.6-35B on DGX Spark — pick serving settings with evidence, not vibes. Coding decode measured at 169 t/s, quality 9/10.
local AI · measured builds · open repos
I don’t rent intelligence — I host it. Local AI, measured builds, open repos.
The machine
Selected public work
Measured llama.cpp flag/profile bakeoff for Qwen3.6-35B on DGX Spark — pick serving settings with evidence, not vibes. Coding decode measured at 169 t/s, quality 9/10.
Endpoint-agnostic local-LLM bakeoff — executed coding, vision, tool & agentic checks scored pass/fail. miaai35 baseline scored 95.0 objective.
Local GPU & fleet dashboard for DGX Spark and any NVIDIA box — graphs, model inventory, endpoint health, read-only service board. 121 GB unified memory, nothing phones home.
Live Bitcoin mempool visualizer — the next 3 projected blocks full-size, fee bands, inscription radar, driven by mempool.space-compatible APIs.
Prompt → 3D-printable STL/STEP, fully local — CadQuery primitives + optional on-box LLM. Zero cloud CAD, bed-fit checks before you slice.
The art
Every image below was generated locally on my own DGX Spark — no cloud API, no rented GPU. Optical figure studies; the last image is a local systems topology diagram. click any image to view full-size
Elsewhere