Local Qwen vision model builds a 3D room game in 26 minutes on a single prompt
Beneficial-Ad-8127 · reddit · 2026-10-19
A Redditor ran an abliterated Qwen3.8-Flash-Next 125B-A6B (self-converted NVFP4) on an RTX 5090 + 192GB RAM rig with the DeepSeek harness (dsh) to build a first-person 3D room game from one prompt and four reference images — zero human approvals. Key metrics: 26m17s of pure agent time over 103 steps, 132,929 output tokens, 98.0% cache hit rate (12M cached tokens read), 121.4 t/s median decode, 2,757 t/s mean prefill, 179 tool calls with 0 errors, and zero context compactions (peak 194k of a 262k window). The author credits the model's vision capabilities (fp32 mmproj, encoder on CPU) for accurately matching placement and details, shares the full pixel-by-pixel prompt, and invites comparisons across harnesses.
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