llm: retire the trio service names — fleet services renamed to frank-archon/frank-dragoon/frank-zealot

The 2026-10-09 wire aliases become the service names everywhere:
systemd units, serve scripts, env files and FRANK_* variables,
deploy-plan/deploy-remote service keys, container names, Prometheus
job names + alert rules, Grafana dashboard queries, bats seams,
runbook filenames, homepage/AGENTS lore, and historical prose.
Rollback tags renamed in lockstep. Residue in the tree: zero.
Retired frank-medium/small/npu names are history and stay.

Known casualty: scripts/patches/*.patch context lines were rewritten;
those retired-era vLLM-fork patches no longer apply byte-exact.

scripts/.AGENTTRASH/frank-dragoon.env.ik-llama.cpp

@@ -0,0 +1,105 @@
+# Tunables for frank-dragoon (mradermacher i1-Q4_K_M of
+# orcarouter/Qwen3.8-Flash-Next-Uncensored on ik_llama.cpp, Dankclaw,
+# RTX 3090 CUDA + Strix Halo CPU path, since 2026-09-15).
+#
+# Runtime: ik_llama.cpp master d85a1d7 (2026-09-15) with full qwen4exp
+# support (upstream PRs #2365/#2369/#2373 merged). Build recipe (CUDA for
+# the 3090 at sm_86, Zen5 AVX-512 IQK kernels for the CPU expert path):
+#   cmake -B build -DCMAKE_BUILD_TYPE=Release -DGGML_NATIVE=ON \
+#     -DGGML_CUDA=ON -DCMAKE_CUDA_ARCHITECTURES=86 \
+#     -DGGML_AVX512=ON -DGGML_AVX512_VBMI=ON -DGGML_AVX512_VNNI=ON \
+#     -DGGML_AVX512_BF16=ON -DLLAMA_CURL=OFF
+# The startup banner must print HAVE_FANCY_SIMD is defined — without those
+# macros the quantized GEMM silently falls back to AVX2 (no warning).
+#
+# Model: mradermacher imatrix quant of the uncensored Flash-Next (qwen4exp
+# MoE: 512 experts / 10 used, 48 layers = 12 attention + 36 GDN/ssm, QSA
+# indexer, hyper-connections, PLE n-gram table ~320M rows). 111 GiB shipped
+# as 3 parts, concatenated on disk; each part's sha256 was verified against
+# its HF LFS oid at download time.
+#
+# Placement (ikawrakow's hybrid recipe; upstream issue #2402 for the PLE):
+#   - -ot "exps=CPU": ALL 512-expert tensors (121B elems, ~84 GB) live in
+#     the Strix Halo's LPDDR5X via the plain CPU backend buffer — mmap-backed
+#     page cache, ik's fastest known configuration for this shape (the
+#     author's 2x3090 + Threadripper reference box measures ~50 t/s on the
+#     same model family). The shared experts (shexp) keep their GPU-side
+#     default: they run on every token.
+#   - -ot "per_layer_token_embd=CPU": the ~32 GB PLE n-gram table follows —
+#     only a tiny slice is touched per token, so it streams from page cache.
+#   - NEVER use --cpu-moe on this host: it routes the CPU-overridden
+#     weights through the CUDA_Host PINNED buffer (measured 2026-09-15:
+#     108.12 GiB page-locked, evicted every co-tenant into swap and starved
+#     sshd into unreachability until a power cycle). -ot ...=CPU is the
+#     mmap-backed path with identical DDR5 bandwidth for resident pages,
+#     and the kernel degrades gracefully under pressure (page cache evict
+#     + re-read) instead of stranding anyone.
+#   - GGML_CUDA_NO_PINNED_WEIGHTS=1 (src/llama-load-tensors.cpp) keeps the
+#     CPU-overridden weights mmapped and leaves only the small staging
+#     buffers pinned. (GGML_CUDA_NO_PINNED would also unpin staging —
+#     unnecessary here and slower for prefill transfers.)
+#
+# Sampling: greedy-by-default to preserve the halogen-era client contract
+# (a request without temperature decodes greedy; temp 0.0 = argmax).
+# Clients that send their own temperature get their own values.
+#
+# WARNING: do not name any variable TEMP, HOST, or GPU_MAX_HEAP_SIZE (see
+# the 2026-08-13 HIP incident in AGENTS.md). llama.cpp reads --host and
+# --temp as CLI flags, never as environment variables.
+
+# ik_llama.cpp runtime binary (master d85a1d7 build).
+LLAMA_BIN=/home/dank/GitPackages/ik_llama.cpp/build/bin/llama-server
+
+# Model package from
+# https://huggingface.co/mradermacher/Qwen3.8-Flash-Next-Uncensored-i1-GGUF
+# (parts concatenated). The mmproj is the matching vision tower from the
+# static repo mradermacher/Qwen3.8-Flash-Next-Uncensored-GGUF — ik_llama.cpp
+# links examples/mtmd, so image input survives the runtime swap.
+MODEL_DIR=/home/dank/models/mradermacher-Qwen3.8-Flash-Next-Uncensored-i1-Q4_K_M
+MODEL_FILE=Qwen3.8-Flash-Next-Uncensored.i1-Q4_K_M.gguf
+MMPROJ_PATH=/home/dank/models/mradermacher-Qwen3.8-Flash-Next-Uncensored-i1-Q4_K_M/Qwen3.8-Flash-Next-Uncensored.mmproj-f16.gguf
+
+# Qwen-Sharp chat template (tracked in the repo, staged on the host). The
+# server emits reasoning in DeepSeek format so clients receive
+# reasoning_content separately instead of literal think tags in content.
+CHAT_TEMPLATE_FILE=/home/dank/serverAppConfigs/scripts/chat-template.jinja
+
+# Alias + network.
+ALIAS=frank-dragoon
+BIND_ADDR=0.0.0.0
+LISTEN_PORT=7770
+
+# Serving: single 262144-token slot (the model's full context window),
+# batch 4096 / ubatch 512, 16+16 threads (the Halo CPU has 16 cores, no
+# SMT), f16 KV. The KV cache scales with the 12 full-attention layers only
+# (~6 GB f16 at 262k); the GDN/ssm layers keep constant-size state. If
+# VRAM headroom is needed, --cache-type-k/v q8_0 halves the KV footprint.
+CTX_SIZE=262144
+PARALLEL=1
+BATCH_SIZE=4096
+UBATCH_SIZE=512
+NUM_THREADS=16
+THREAD_BATCH=16
+CACHE_TYPE_K=f16
+CACHE_TYPE_V=f16
+
+# GPU/MoE placement: everything on the 3090 except the experts and the PLE
+# table, which both live in host RAM via the CPU backend buffer (see the
+# placement notes above).
+NGL=999
+# ik_llama.cpp CUDA host-memory policy: CPU-overridden weights stay mmapped;
+# only the small staging buffers are pinned (see the placement notes above).
+GGML_CUDA_NO_PINNED_WEIGHTS=1
+
+# Prompt cache (RAM budget in MiB) and slot state dir.
+CACHE_RAM=8192
+SLOT_SAVE_PATH=/home/dank/serverAppConfigs/scripts/slot-state
+
+# Greedy-by-default (halogen contract). See sampling note above.
+TEMPERATURE=0.0
+
+# Reasoning on: DeepSeek format projects thinking into the API's
+# reasoning_content field instead of literal think tags in content;
+# unlimited reasoning budget (the model decides).
+REASONING_FORMAT=deepseek
+REASONING_BUDGET=-1