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  1. Qwen 27B at ~20 tok/s on a jailbroken PS5's GPU. I forked PS5LM and turned it into a native app — r/LocalLLM
  2. I clustered two old Android phones to run a 27B LLM locally. Bypassed RAM limits via C++ RPC split and Hadamard Ternary math (No overheating) — r/LocalLLM
  3. Quartermaster 1.7 update now lets you run llama.cpp's new decision models (/v1/systemone) with a playground tab — r/LocalLLaMA
  4. An 80B MoE (Qwen3-Next, 48 GB GGUF) answering in a Chrome tab: llama.cpp's WebGPU backend, experts paged in from disk — r/LocalLLaMA
  5. Models keeps unloading from GPU — r/LocalLLM
  6. SonicBoom: 52 tok/s decode on a laptop RTX 3050 (llama.cpp: 45) with the same quantized kernels, the difference is a graph compiler. No Python. — r/LocalLLaMA
  7. train the best model you can on your mac in one hour — r/learnmachinelearning
  8. Running decision models: Picking quant, VRAM usage — r/LocalLLaMA

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