Swap LLM fleet to Ornith CRACK (small) and kingjones ROCmFP4 STRIX MTP (large); apply Qwen-Sharp chat template

- frank-default-small (Dankserver): Ornith-1.5-35B-A3B-CRACK Q8_0, bundled
  native draft-mtp (n_max 4), MoE expert FFN tensors pinned to CPU via an
  explicit --override-tensor \.ffn_(up|down|gate|gate_up)_(ch|)exps=CPU
  (replaces --n-cpu-moe), Qwen-Sharp chat template.
- frank-default-large (Dankclaw): kingjones Qwen3.8-27B-Uncensored-Q6_0
  ROCmFP4 AGENT dense GGUF, standalone mtp-Qwen3.8-27B-Q4_0 draft head
  (--model-draft, draft-mtp n_max 4), Qwen-Sharp chat template. Drop the
  retired PromptForge .pfs sidecar lanes.
- Track scripts/chat-template.jinja (v22.4.0 Sharp) and apply via
  --chat-template-file on both services.
- Docs: new kingjones-strix-mtp and dealign-ornith-crack runbook pages;
  update index, deployment, and both system specs; models.json names.

Smoke-tested both models on the real hardware on scratch ports before
commit: model loads, MTP draft attaches, Sharp template applies, chat
completion returns.

scripts/frank-default-small.env

@@ -1,38 +1,49 @@
-# Tunables for frank-default-small (HauhauCS Qwen3.6-35B-A3B Q6_K_P,
-# ngram-mod spec, Dankserver, RTX 3090).
+# Tunables for frank-default-small (Ornith-1.5-35B-A3B CRACK Q8_0, MTP MoE,
+# Dankserver, RTX 3090).
 #
-# Runtime: upstream llama.cpp llama-server (b10121). RTX 3090 24 GB;
-# Ryzen 7 7700X; 62 GB RAM. MoE experts offloaded to CPU (--n-cpu-moe 36).
-# Restored 2026-08-18 (was the pre-2026-08-17-redo frank-default-small).
+# Runtime: upstream llama.cpp llama-server (b10121). RTX 3090 24 GB; Ryzen
+# 7 7700X; 62 GB RAM. MoE expert weights pinned to CPU with an explicit
+# --override-tensor regex (not --n-cpu-moe). Replaced the HauhauCS
+# Qwen3.6-35B-A3B model on 2026-08-24.
 #
 # WARNING: do not name any variable TEMP, HOST, or GPU_MAX_HEAP_SIZE. The
 # ROCm HIP runtime reads those bare env vars (see the 2026-08-13 TEMP
 # incident). This box is NVIDIA/CUDA, but the rule keeps the env portable.
 
-# Model files (already on disk; Q6_K_P GGUF + f16 mmproj vision encoder).
-MODEL_DIR=/home/dank/models
-MODEL_FILE=Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive-Q6_K_P.gguf
-MMPROJ_FILE=mmproj-Qwen3.6-35B-A3B-Uncensored-HauhauCS-Aggressive-f16.gguf
+# Model files (Q8_0 CRACK GGUF + f16 mmproj vision encoder + MTP head bundled
+# in the GGUF). Dealign2026-08-24.
+MODEL_DIR=/home/dank/models/Ornith-1.5-35B-A3B-CRACK
+MODEL_FILE=Ornith-1.5-35B-A3B-CRACK-Q8_0.gguf
+MMPROJ_FILE=mmproj-Ornith-1.5-35B-A3B-f16.gguf
 # Upstream llama.cpp binary (b10121).
 LLAMA_SERVER=/home/dank/llama.cpp/build/bin/llama-server
 
+# Qwen-Sharp chat template (tracked in the repo, staged on the host).
+CHAT_TEMPLATE_FILE=/home/dank/serverAppConfigs/scripts/chat-template.jinja
+
 ALIAS=frank-default-small
 BIND_ADDR=0.0.0.0
 LISTEN_PORT=7770
 
-# 3 parallel slots x 262144 ctx each = ~786432 total context pool (max per-slot).
-# Dual-f16 KV at 786432 cells leaves ~15 GiB free on the 3090.
+# 3 parallel slots x 262144 total context pool (max per-slot), unchanged
+# from the prior Qwen3.6 service. Lower PARALLEL if VRAM is tight with the
+# larger Q8_0 payload.
 CTX_SIZE=786432
 PARALLEL=3
 
-# Spec: ngram-mod (n_min=48, n_max=64, n_match=24).
-SPEC_TYPE=ngram-mod
-NGRAM_MOD_N_MIN=48
-NGRAM_MOD_N_MAX=64
-NGRAM_MOD_N_MATCH=24
+# Spec: MoE model with a bundled MTP head -> native draft-mtp, n_max 4
+# (the knee). ngram under MTP hurts; MTP alone is the proven best for MoE.
+SPEC_TYPE=draft-mtp
+SPEC_DRAFT_N_MAX=4
+SPEC_DRAFT_N_MIN=0
+SPEC_DRAFT_P_MIN=0.0
 
-# Expert offload: 38 of 40 layers keep MoE weights on CPU; 2 on GPU.
-N_CPU_MOE=38
+# Expert offload via explicit tensor override (replaces --n-cpu-moe). Only
+# the MoE FFN exps tensors move to CPU; everything else up to --gpu-layers
+# stays on the 24 GB card. The regex is the same one the built-in --cpu-moe
+# expands. Buffer type "CPU" is the CPU buft name on this host.
+OVERRIDE_EXPERT='\.ffn_(up|down|gate|gate_up)_(ch|)exps'
+OVERRIDE_BUFT=CPU
 N_GPU_LAYERS=all
 
 # KV cache on GPU, both K and V at f16.
@@ -40,22 +51,22 @@ CACHE_TYPE_K=f16
 CACHE_TYPE_V=f16
 
 VERBOSITY=4
-# Store SWA/context checkpoints in RAM to hold peak GPU memory down.
+# Store context checkpoints in RAM to hold peak GPU memory down.
 CTX_CHECKPOINTS=16
 
-# Big prefill batches (ubatch 2048, batch 4096).
+# Big prefill batches.
 BATCH_SIZE=4096
 UBATCH_SIZE=2048
 
-# Eager RAM load (MoE experts on CPU; ~31 GB RAM).
+# Eager RAM load (expert weights on CPU; ~31 GB RAM).
 NO_MMAP=1
 
-# Sampling (HauhauCS Qwen3.6-35B-A3B model card, thinking-general).
+# Sampling (Dealign Ornith model card, thinking-general).
 TEMPERATURE=1.0
 TOP_K=20
 TOP_P=0.95
 MIN_P=0.0
 
-# Compute threads lowered to 7 so other processes keep a core.
+# Compute threads lowered to 8 so other processes keep a core.
 THREADS=7
-THREADS_HTTP=8
+THREADS_HTTP=8