- Remove global --n-gpu-layers from router unit ExecStart in preset mode (llama.cpp CLI arg outranked per-model INI n-gpu-layers=0; root cause from War Machine's run 1). Flag now emitted only in --models-dir mode. - All 5 preset INI sections carry explicit n-gpu-layers: Qwen3.8=99, Phi=99, nomic=99, Coder=0, Llama=0. - host_vars/astro-orbiter: llm_router_models_max 2 -> 4 so CPU-offloaded models count as loaded without LRU-evicting Qwen3.8. - defaults: llm_router_coder_gpu_layers / llm_router_llama_gpu_layers = 0. - verify.yml: fix pre-existing .meta attribute crash in router mode. - New playbook day2_cpu_offload_aux_models.yml. Deployed + verified on astro-orbiter (gates A-E PASS): concurrent residency achieved, Qwen3.8 stays GPU-resident. Measured CPU throughput Llama 9.0 / Coder 4.7 tok/s. VRAM note: llama.cpp 6ea215d allocates ~1.4-1.7GB CUDA-context per CPU model even at n-gpu-layers=0 -> ~24,004 MiB steady-state, below the 24,576 MiB physical limit. Comments corrected to match the measurement. Report: friday/inbox/ryan/2026-08-17-llm-cpu-offload-coder-llama-deployed.md
3.8 KiB
3.8 KiB