Files
command-center/agent/memories/--home-blank-.omp--/rollout_summaries/01a0a7ff-dae2-71fd-9bd0-a8aa7c9d3676-llama_cpp_parallelis.md
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Frank 135bb2194d agent: repoint roles to frank-medium/dankclaw-3090; sync niri tweaks, memories, managed skills
- config.yml: default/commit -> frank-medium (dankserver); task/tiny/smol/vision -> frank-small (dankclaw-3090); vision xhigh
- models.yml: add llamacpp (dankclaw-3090) provider; frank-large preserve_thinking + context notes
- niri: focus-ring/border/shadow layout, hot-corners off, re-add noctalia.kdl include; blankpad eDP-1 scale 1.0
- memories: flush rollouts; retire frank_large + marreta_authentik skills; add auth-chain/kv-pool/quadlet-log skills
- managed-skills: 40+ new fleet runbook skills
- agent/skills: import built-in skill set
2026-09-17 12:27:08 -07:00

457 B

thread_id: 01a0a7ff-dae2-71fd-9bd0-a8aa7c9d3676 updated_at: 1789533306

llama.cpp parallelism types: two real model-parallelism modes (pipeline/layer split = default, tensor = experimental), plus deprecated 'row' and single-GPU 'none'. --parallel is a separate serving-level concurrency axis, not model splitting. No first-class context/sequence parallelism. Tensor mode requires flash attention, non-quantized KV, and excludes MoE/Mamba/SSM architectures.