Files
command-center/agent/memories/--home-blank-Projects-serverAppConfig--/rollout_summaries/01a0dfa8-7193-7235-980d-69e138218fcc-glm5_next_deployment.md
T
Frank 12c5e885f1 docs: purge the retired workstation from auto-learned memory and the backup snapshot
Finishes the purge. These two surfaces were left out of the earlier commit
because the memory store is auto-generated, but both are read back into every
future session, so the name was still reaching the agent.

58 sites across 16 files: hostname, both LAN addresses, the SSID. Special-cased
the compound names a blind token swap breaks ('dank@the workstation/dankclaw',
'on the workstation/Dankclaw/Dankserver') and reworded the four that came out
ungrammatical. Facts kept: the hardware inventory of the box, the noctalia
architecture history, and today's own purge lessons all survive intact — only
the identifiers are gone.

Non-memory: the tracked .pre-pull-backup snapshot of a managed skill, whose
live counterpart was already clean.
2026-09-28 16:57:00 -07:00

417 B

thread_id: 01a0dfa8-7193-7235-980d-69e138218fcc updated_at: 1790474002

Deploying GLM-5-Next (GLM-5.3-Flash) 321.3B MoE model on dankserver. Key features include vision tower support, MTP draft mode, and a specific requirement for -fa off and -ub 128 to handle MLA and long-context collapse. Since the Q6_K weights (~264GB) exceed the 246GB RAM, it uses mmap with -ot exps=CPU to offload experts to host RAM.