docs: record the qwen-fp8-tuned-20260929 tag + digest-pinned image

Repo tag qwen-fp8-tuned-20260929 at f532e03; serve script launches the
tcclaviger image by digest sha256:da402966... (local alias
qwen-fp8-runtime:tuned-20260929) — the floating :latest is no longer
referenced.

serverAppConfigs-docs/LLM/dankserver-qwen38-fp8-expert-offload-tuning.md

@@ -44,7 +44,10 @@ off):
 
 ```
 MODEL=/home/dank/models/Qwen3.8-Flash-Next-Uncensored-FP8   (~172.8 GiB, 131 shards)
-IMAGE=docker.io/tcclaviger/vllm:latest
+IMAGE=docker.io/tcclaviger/vllm@sha256:da4029666668b90a0386c1ed23ea370c79916ad4e1a6ad1dd9db098b9fa069ea
+# image ID 3322dbbbc96d; local alias qwen-fp8-runtime:tuned-20260929;
+# the floating :latest tag moved once already — always launch by digest.
+# repo tag of this state: qwen-fp8-tuned-20260929
 --tensor-parallel-size 2  --max-model-len 32768  --gpu-memory-utilization 0.98
 --kv-cache-memory-bytes 2147483648  --max-num-seqs 4  --enable-prefix-caching
 --speculative-config '{"method":"mtp","num_speculative_tokens":4}'

serverAppConfigs-docs/log.md

@@ -122,6 +122,15 @@
     (~165 GiB) or W4A16 payload + a glm5next-on-HIP boot probe; community
     GLM-5.3 quants are GGUF (llama.cpp path only), native FP8 is 328 GB
     (> 246 GiB RAM). Feasibility doc rows updated.
+  - **Revert pins installed (Frank's request):** (1) repo tag
+    `qwen-fp8-tuned-20260929` at f532e03 (the campaign's docs + measured
+    config; `git checkout qwen-fp8-tuned-20260929` restores the state);
+    (2) image pinned by digest — serve script now launches
+    `docker.io/tcclaviger/vllm@sha256:da402966...` (ID 3322dbbbc96d) with a
+    local alias `qwen-fp8-runtime:tuned-20260929`; the floating `:latest`
+    is no longer referenced anywhere (the other image on the host,
+    `28.06.1-Code000` = fffca39f, is a DIFFERENT build — do not confuse).
+    Runbook deployment-shape section updated.
 
 ## 2026-09-28
 - **Dankclaw model cleanup** (disk was at 93%, 137 G free). Frank asked to