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Drop your GPU below and I’ll tell you exactly what model and config to run on it.
JOKES. No need.
Qwen 3.6 27b @UnslothAI . All day. All night.
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BlackwellBoy
8.7K posts

@Blackwellboy
Sovereign local AI architect • 1208 GB heterogeneous beast (RTX 5090 + 5×3090 + 8× DGX Spark + M4 Mac Mini) Hermes ftw.




Two tough days, Package turns up empty with no spark, police reports etc. today, my son jumped over the couch, smacked his head on the tiles and knocked himself out, now in hospital for the past several hours, pray he will be ok.




















I removed 423 GB from GLM‑5.2 without changing the model. 1,403 GB → 980 GB. 753B weights. Bit for bit exact. No quantization or retraining. The weights remain compressed in VRAM instead of rebuilding the full model first. Full writeup and repo in the next post.









