frank-medium: serve the new R9700s, retire frank-small

The RTX 3090 left Dankserver; two AMD Radeon AI PRO R9700 cards (Navi 48,
gfx1201, 32,624 MiB each) replaced it. FreeToken/CUDA cannot run there at all,
so the `frank-small` service is retired and `frank-medium` takes the endpoint.

New service: charlie12345/ROCmFPX llama.cpp (built for gfx1201 against the
fork's self-contained ROCm 7.14 toolchain, so the host's stale /opt/rocm-6.3.3
never participates) serving kingjones777/Qwen3.8-27B-ROCmFPX-Q8_0-AGENT-GGUF --
a Q8_0_ROCMFPX_AGENT (ftype 115) checkpoint that stock llama.cpp cannot load.
Placeholder config: --split-mode tensor across both cards, 131072 context,
1 slot, f16 KV, MTP draft head on ROCm0.

deploy-remote.sh grows retire_root_llm_small(): the CUDA-era unit is stopped,
disabled and moved to ~/.AGENTTRASH/20260915-frank-small-retire/host-units
before frank-medium starts, because `systemctl disable` has been observed to
delete the unit file itself on this host (2026-08-26 incident).

The retired frank-small repo files (env, unit, serve script) move to
scripts/.AGENTTRASH/, and the planner, dispatcher, service allow-list and the
deployment test seams now name frank-medium.

scripts/serve-frank-small.sh

@@ -1,77 +0,0 @@
-#!/usr/bin/env bash
-# Serve batsclamp/Huihui-Qwen3.6-35B-A3B-abliterated-FP8 as
-# frank-small via FreeToken on Dankserver (RTX 3090, 60 GB RAM).
-#
-# Runtime: FreeToken v0.1.2 (edge-native MoE serving engine).
-#   - Experts live in host RAM; an LRU cache of expert slots is resident
-#     on the GPU. Misses are streamed over PCIe.
-#   - Paged KV cache (radix prefix sharing).  Only the 10 full-attention
-#     layers page KV (~20 KiB/token); the 30 GDN/linear-attention layers
-#     hold constant-size per-sequence state (mamba slots).
-#   - OpenAI-compatible API (/v1/chat/completions, /v1/models).
-#
-# Model: batsclamp/Huihui-Qwen3.6-35B-A3B-abliterated-FP8 — Huihui
-# abliterated finetune of Qwen3.6-35B-A3B in the same native modelopt
-# block-fp8 format (e4m3, 128x128 weight_block_size, un-fused per-expert
-# layout) as the official FP8 checkpoint this service ran before; the
-# FreeToken loader path is unchanged.  40 layers (10 attention + 30
-# GDN), 256 experts / 8 used, 2 KV heads × 256 dim.  ~35 GB on disk.
-# The checkpoint ships the fixed Qwen3.6 chat template; FreeToken reads
-# it from the model directory.
-#
-# Pool sizing: the GPU budget is split MoE-first between expert residency
-# and KV pages.  --moe-cache-size pins the number of resident expert
-# slots; --num-tokens pins the KV pool capacity.  Live resize is possible
-# via `ft ctl cache --kv N --moe M` (grows KV by shrinking MoE; shrinking
-# KV requires a restart due to the swap-during-rebuild memory cost).
-#
-# Tunables come from frank-small.env unless FRANK_SMALL_ENV_FILE
-# overrides that path.
-set -euo pipefail
-
-SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
-ENV_FILE="${FRANK_SMALL_ENV_FILE:-$SCRIPT_DIR/frank-small.env}"
-if [[ -f "$ENV_FILE" ]]; then
-    set -a
-    # shellcheck disable=SC1090
-    source "$ENV_FILE"
-    set +a
-fi
-
-# --- defaults (used when the env file does not set them) -----------------
-: "${MODEL_DIR:=/home/dank/models/huihui-qwen36-35b-a3b-abliterated-fp8}"
-: "${ALIAS:=frank-small}"
-: "${BIND_ADDR:=0.0.0.0}"
-: "${LISTEN_PORT:=7770}"
-: "${FT_VENV:=/home/dank/freetoken/.venv}"
-: "${CUDA_HOME_DIR:=${FT_VENV}/lib/python3.12/site-packages/nvidia/cu13}"
-
-# Pool sizing (expert residency vs KV cache tradeoff).
-: "${MOE_CACHE_SIZE:=2048}"
-: "${NUM_TOKENS:=453005}"
-: "${MAX_RUNNING_REQUESTS:=4}"
-
-# Paths
-FT_BIN="${FT_VENV}/bin/ft"
-MODEL="${MODEL_DIR}"
-
-if [[ ! -x "$FT_BIN" ]]; then
-    echo "missing FreeToken CLI: $FT_BIN" >&2
-    exit 1
-fi
-if [[ ! -d "$MODEL" ]]; then
-    echo "missing model directory: $MODEL" >&2
-    exit 1
-fi
-
-export PATH="${FT_VENV}/bin:${PATH}"
-export CUDA_HOME="${CUDA_HOME_DIR}"
-
-exec "$FT_BIN" serve \
-    --model "$MODEL" \
-    --served-model-name "$ALIAS" \
-    --host "$BIND_ADDR" \
-    --port "$LISTEN_PORT" \
-    --moe-cache-size "$MOE_CACHE_SIZE" \
-    --num-tokens "$NUM_TOKENS" \
-    --max-running-requests "$MAX_RUNNING_REQUESTS"