diff --git a/scripts/frank-default-large.env b/scripts/frank-default-large.env
index e134c39..fe40f93 100644
--- a/scripts/frank-default-large.env
+++ b/scripts/frank-default-large.env
@@ -1,62 +1,78 @@
-# Tunables for frank-default-large (unsloth Qwen3.8-27B UD-Q8_K_XL, dankclaw)
-# Runtime: llama.cpp llama-server (b10433+, rebuilt 2026-08-14 for bundled-MTP
-# support); AMD Strix Halo (gfx1151) 96GB UMA; Ryzen AI MAX+ 395.
+# Head tunables — Qwen3.8-27B pipeline-parallel head (Dankclaw).
+#
+# The head is the LOCAL side of the split. It runs llama-server (b10433,
+# HIP+Vulkan+RPC build in /home/dank/llama.cpp/build) with --rpc pointing at
+# the worker on Dankserver. The model file lives on this machine only; the
+# worker receives its tensor share over the network at load time.
+#
+# CRITICAL: this script must NOT pass --device. When --device is set,
+# llama.cpp uses exactly that device list and silently drops the RPC device
+# (src/llama.cpp llama_prepare_model_devices). Default device selection
+# inserts RPC servers at the FRONT of the device list, so the split becomes
+# [RPC0, iGPU] and --tensor-split index 0 is the worker.
+#
+# WARNING: do not name any variable here TEMP, HOST, or GPU_MAX_HEAP_SIZE
+# (HIP runtime collision, see the 2026-08-13 TEMP incident).
+
 MODEL_DIR=/home/dank/models
 MODEL_FILE=Qwen3.8-27B-UD-Q8_K_XL.gguf
-ALIAS=frank-default-large
-HOST=0.0.0.0
-PORT=7770
-# Context pool. Qwen3.8 native context = 262144 per sequence.
-# 524288 total / PARALLEL 2 = 262144 per slot, matching the pi client's
-# contextWindow=262144 for frank-default-large. Model is 29GB; ROCm has
-# ~70GB headroom, so 2x262k quantized KV fits. Verify at startup.
-CTX_SIZE=524288
-# Parallel slots. 2026-08-15: DSpark multi-slot crashed the ROCm backend
-# (illegal memory access, status 6/ABRT) under two concurrent 16k prose
-# prompts, so DSpark was retired and --spec-default (ngram-mod) is used.
-# ngram-mod is draftless and passed the strict parallel test historically.
-# PARALLEL=2 is the current trial; pin to 1 if the 2x32k stream test fails.
+HEAD_BIN=/home/dank/llama.cpp/build/bin/llama-server
+ALIAS=frank-default
+BIND_ADDR=0.0.0.0
+LISTEN_PORT=7770
+
+# Comma-separated RPC endpoints (host:port). One worker here.
+RPC_SERVERS=192.168.0.235:50052
+
+# Model split fractions, one per device in order [RPC0, iGPU].
+# 0.40,0.60 = 40% of layers on the 3090 (~26 layers) - the maximum that
+# fits its 24 GB card with 2x200700 f16 KV (see the KV math in
+# docs/Pipeline Parallelism/Qwen3.8 PP Deployment.md). The 3090 is 2-3x
+# faster per layer, so shifting weight to it is also a speed win.
+TENSOR_SPLIT=0.40,0.60
+
+# Context pool. 401400 total = 2 parallel slots x 200700 per slot
+# (n_ctx_seq = n_ctx / n_seq_max, llama-context.cpp:293).
+CTX_SIZE=401400
 PARALLEL=2
-# Spec: llama.cpp --spec-default preset = ngram-mod (n_match 24, n_min 48,
-# n_max 64).  No draft model.  Switched from DSpark 2026-08-15 after the
-# DSpark multi-slot ROCm crash.  MTP=1 prepends the bundled in-model MTP
-# head (draft-mtp) before the ngram-mod fallback.  See [[qwen3.8-spec-matrix]].
+
+# Speculative decoding. Matches production frank-default-large: MTP (bundled
+# head, n_max 4 per the published tuning curve) with the ngram-mod fallback.
+# Set SPEC_NONE=1 for a raw baseline with no speculation.
+SPEC_NONE=0
 SPEC_DEFAULT=1
 MTP=1
-SPEC_TYPE=
-DRAFT_FILE=
-SPEC_DRAFT_N_MAX=
-SPEC_DRAFT_P_MIN=
+SPEC_DRAFT_N_MAX=4
+# Optional standalone MTP draft head (e.g. the Q4_0 ggml-org file). When set,
+# it replaces the bundled in-model head via --spec-draft-model.
+SPEC_DRAFT_MODEL=
 SPEC_NGRAM_MOD_N_MIN=48
 SPEC_NGRAM_MOD_N_MAX=64
 SPEC_NGRAM_MOD_N_MATCH=24
-# Backend device from --list-devices. Vulkan0 selected 2026-08-15 for high
-# context: at 262144 ctx (~200k prompt) Vulkan generates ~5.7 t/s vs ROCm
-# ~3.8 t/s (48% faster decode), while ROCm prefills ~12% faster (119 vs 106
-# t/s).  Generation is the interactive cost, so Vulkan0 wins at high ctx.
-# See docs/bench-high-ctx results and [[qwen3.8-spec-matrix]].
-DEVICE=Vulkan0
-# Dense model: full offload. (Not MoE.)
-N_GPU_LAYERS=all
-# KV on GPU, quantized (K q8_0, V q8_0). Keep K == V for Flash Attention;
-# mixed types silently disable FA (long-context decode collapses).
-CACHE_TYPE_K=q8_0
-CACHE_TYPE_V=q8_0
-# Batch sizing (verified 2026-08-14 on Qwen3.8 UD-Q8_K_XL):
-#   ubatch 128 with batch>=2048 -> premature-EOS under concurrency (unsafe).
-#   ubatch 512 -> MTP acceptance collapses (~25%) -> gen ~9 t/s (slow).
-#   ubatch 256 -> ~30 t/s gen, concurrent-safe, ~330 t/s prefill.  WINNER.
-# batch 8192 keeps single-shot prefill flexibility; ubatch drives the graph.
+
+# KV on GPU, unquantized (f16). 16 full-attention layers x 2 (K,V) x 4 heads
+# x 256 dim x 2 bytes = 64 KiB/token -> 401400 tokens = 24.5 GiB total.
+# Keep K == V so Flash Attention stays enabled.
+CACHE_TYPE_K=f16
+CACHE_TYPE_V=f16
+
+# Batch sizing: production-verified values (2026-08-14).
 BATCH_SIZE=8192
 UBATCH_SIZE=256
-# Sampling settings — per Qwen3.8-27B model card thinking mode.
-# Thinking: temp=1.0, top_p=0.95, top_k=20, min_p=0. Clients may override.
-# WARNING: do not name this variable TEMP. The ROCm HIP runtime reads the
-# TEMP environment variable (JIT kernel-cache dir); TEMP=1.0 made the HIP
-# runtime SEGV during model load on Aug 13 2026.
+
+# Sampling — Qwen3.8 thinking-mode defaults.
 TEMPERATURE=1.0
 TOP_K=20
 TOP_P=0.95
 MIN_P=0.0
+
 THREADS=12
 THREADS_HTTP=1
+
+# 4 (info): clean journal for interactive use. Raise to 10 only when
+# debugging the layer split (the per-layer assignment lines are debug-level).
+VERBOSITY=4
+
+# 1: --direct-io model load. Required in practice for large models loaded
+# over RPC (load hangs otherwise; visorcraft Strix RPC finding).
+DIRECT_IO=1
diff --git a/scripts/frank-default-large.service b/scripts/frank-default-large.service
index 3951e4d..53fb69a 100644
--- a/scripts/frank-default-large.service
+++ b/scripts/frank-default-large.service
@@ -1,15 +1,14 @@
 [Unit]
-Description=llama.cpp Qwen3.8-27B UD-Q8_K_XL draft-mtp+ngram-mod (frank-default-large)
-After=network.target
+Description=llama.cpp Qwen3.8-27B pipeline-parallel head (Strix + RPC to Dankserver) (frank-default-large)
+After=network-online.target
+Wants=network-online.target
 
 [Service]
 Type=simple
 User=dank
 Group=dank
-Environment="HOST=0.0.0.0"
-Environment="PORT=7770"
-Environment="FRANK_LARGE_ENV_FILE=/home/dank/vllmScripts/scripts/frank-default-large.env"
-ExecStart=/home/dank/vllmScripts/scripts/serve-llama-frank-large.sh
+Environment="FRANK_PP_HEAD_ENV_FILE=/home/dank/vllmScripts/scripts/frank-default-large.env"
+ExecStart=/home/dank/vllmScripts/scripts/serve-pp-head.sh
 Restart=on-failure
 RestartSec=10
 
diff --git a/scripts/frank-pp-head.env b/scripts/frank-pp-head.env
deleted file mode 100644
index fe40f93..0000000
--- a/scripts/frank-pp-head.env
+++ /dev/null
@@ -1,78 +0,0 @@
-# Head tunables — Qwen3.8-27B pipeline-parallel head (Dankclaw).
-#
-# The head is the LOCAL side of the split. It runs llama-server (b10433,
-# HIP+Vulkan+RPC build in /home/dank/llama.cpp/build) with --rpc pointing at
-# the worker on Dankserver. The model file lives on this machine only; the
-# worker receives its tensor share over the network at load time.
-#
-# CRITICAL: this script must NOT pass --device. When --device is set,
-# llama.cpp uses exactly that device list and silently drops the RPC device
-# (src/llama.cpp llama_prepare_model_devices). Default device selection
-# inserts RPC servers at the FRONT of the device list, so the split becomes
-# [RPC0, iGPU] and --tensor-split index 0 is the worker.
-#
-# WARNING: do not name any variable here TEMP, HOST, or GPU_MAX_HEAP_SIZE
-# (HIP runtime collision, see the 2026-08-13 TEMP incident).
-
-MODEL_DIR=/home/dank/models
-MODEL_FILE=Qwen3.8-27B-UD-Q8_K_XL.gguf
-HEAD_BIN=/home/dank/llama.cpp/build/bin/llama-server
-ALIAS=frank-default
-BIND_ADDR=0.0.0.0
-LISTEN_PORT=7770
-
-# Comma-separated RPC endpoints (host:port). One worker here.
-RPC_SERVERS=192.168.0.235:50052
-
-# Model split fractions, one per device in order [RPC0, iGPU].
-# 0.40,0.60 = 40% of layers on the 3090 (~26 layers) - the maximum that
-# fits its 24 GB card with 2x200700 f16 KV (see the KV math in
-# docs/Pipeline Parallelism/Qwen3.8 PP Deployment.md). The 3090 is 2-3x
-# faster per layer, so shifting weight to it is also a speed win.
-TENSOR_SPLIT=0.40,0.60
-
-# Context pool. 401400 total = 2 parallel slots x 200700 per slot
-# (n_ctx_seq = n_ctx / n_seq_max, llama-context.cpp:293).
-CTX_SIZE=401400
-PARALLEL=2
-
-# Speculative decoding. Matches production frank-default-large: MTP (bundled
-# head, n_max 4 per the published tuning curve) with the ngram-mod fallback.
-# Set SPEC_NONE=1 for a raw baseline with no speculation.
-SPEC_NONE=0
-SPEC_DEFAULT=1
-MTP=1
-SPEC_DRAFT_N_MAX=4
-# Optional standalone MTP draft head (e.g. the Q4_0 ggml-org file). When set,
-# it replaces the bundled in-model head via --spec-draft-model.
-SPEC_DRAFT_MODEL=
-SPEC_NGRAM_MOD_N_MIN=48
-SPEC_NGRAM_MOD_N_MAX=64
-SPEC_NGRAM_MOD_N_MATCH=24
-
-# KV on GPU, unquantized (f16). 16 full-attention layers x 2 (K,V) x 4 heads
-# x 256 dim x 2 bytes = 64 KiB/token -> 401400 tokens = 24.5 GiB total.
-# Keep K == V so Flash Attention stays enabled.
-CACHE_TYPE_K=f16
-CACHE_TYPE_V=f16
-
-# Batch sizing: production-verified values (2026-08-14).
-BATCH_SIZE=8192
-UBATCH_SIZE=256
-
-# Sampling — Qwen3.8 thinking-mode defaults.
-TEMPERATURE=1.0
-TOP_K=20
-TOP_P=0.95
-MIN_P=0.0
-
-THREADS=12
-THREADS_HTTP=1
-
-# 4 (info): clean journal for interactive use. Raise to 10 only when
-# debugging the layer split (the per-layer assignment lines are debug-level).
-VERBOSITY=4
-
-# 1: --direct-io model load. Required in practice for large models loaded
-# over RPC (load hangs otherwise; visorcraft Strix RPC finding).
-DIRECT_IO=1
diff --git a/scripts/frank-pp-head.service b/scripts/frank-pp-head.service
deleted file mode 100644
index 411618f..0000000
--- a/scripts/frank-pp-head.service
+++ /dev/null
@@ -1,16 +0,0 @@
-[Unit]
-Description=llama.cpp Qwen3.8-27B pipeline-parallel head (Strix + RPC to Dankserver)
-After=network-online.target
-Wants=network-online.target
-
-[Service]
-Type=simple
-User=dank
-Group=dank
-Environment="FRANK_PP_HEAD_ENV_FILE=/home/dank/vllmScripts/scripts/frank-pp-head.env"
-ExecStart=/home/dank/vllmScripts/scripts/serve-pp-head.sh
-Restart=on-failure
-RestartSec=10
-
-[Install]
-WantedBy=multi-user.target
diff --git a/scripts/serve-pp-head.sh b/scripts/serve-pp-head.sh
index ebac11d..5d31b97 100755
--- a/scripts/serve-pp-head.sh
+++ b/scripts/serve-pp-head.sh
@@ -8,14 +8,14 @@
 #
 # IMPORTANT: no --device flag. The RPC device only joins the model's device
 # list through default device selection; an explicit --device silently drops
-# it. See the header of frank-pp-head.env.
+# it. See the header of frank-default-large.env.
 #
-# Tunables come from frank-pp-head.env in this directory unless the
+# Tunables come from frank-default-large.env in this directory unless the
 # FRANK_PP_HEAD_ENV_FILE environment variable overrides that path.
 set -euo pipefail
 
 SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
-ENV_FILE="${FRANK_PP_HEAD_ENV_FILE:-$SCRIPT_DIR/frank-pp-head.env}"
+ENV_FILE="${FRANK_PP_HEAD_ENV_FILE:-$SCRIPT_DIR/frank-default-large.env}"
 if [[ -f "$ENV_FILE" ]]; then
     set -a
     # shellcheck disable=SC1090