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.
This commit is contained in:
Frank committed 2026-08-24 21:35:11 -07:00
1 parent 189934af15
commit 4462aa992c
14 files changed
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@@ -3,40 +3,36 @@
#
# Runtime: the PromptForge llama-server built from ciru-ai/ROCmFPX tag
# qwen3.8-activefpx-promptforge-v2.3 plus the v3 output-K8 runtime patch
# serving jcbtc/Qwen3.8-27B-CIRU-ActiveFPX-PromptForge (v3). v3 tensor
# allocation (FFN-equalized, late-Q6 writers, full-Q8 output) with the
# full-W8 PromptForge companions, the Output-K8 draft proxy, and the BF16
# vision projector. Alias frank-default-large, port 7770 (moved from 52625
# on 2026-08-22; the primary inference server sits on the standard
# llama.cpp port).
#
# This runtime replaced the retired vLLM service that previously occupied
# this slot. See docs/ciru-activefpx-promptforge.md.
# serving kingjones777/Qwen3.8-27B-Uncensored-ROCmFP4 (dense, Q6 AGENT
# GGUF) with the standalone MTP Q4_0 draft head. Alias frank-default-large,
# port 7770.
#
# This model replaced jcbtc/Qwen3.8-27B-CIRU-ActiveFPX-PromptForge (v3) on
# 2026-08-24. The new model is a plain ROCmFP4 GGUF (no PromptForge .pfs
# sidecars, no Output-K8 proxy); the requested file is Q6_.
# 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).
# llama.cpp reads --host/--port/--temp as CLI flags, never as env vars.
# CIRU llama-server binary (ROCmFPX v2.3 + v3 output-K8 patch build, see
# docs/ciru runtime page). Built against the private TheRock ROCm 7.15 SDK
# kept in the retired ling3-ciru venv. ROCm 7.15 is required for the
# advertised Strix Halo performance; the system ROCm 7.2.4 selects
# slower/fallback kernels.
# CIRU llama-server binary (ROCmFPX v2.3 + v3 output-K8 patch build, built
# against the private TheRock ROCm 7.15 SDK kept in the retired ling3-ciru
# venv). ROCm 7.15 is required for the advertised Strix Halo performance.
LLAMA_BIN=/home/dank/ciru-qwen38/ROCmFPX/build-promptforge/bin/llama-server
# Model files (v3). The five-file payload (GGUF + FFN/GDN .pfs + Output-K8
# proxy + BF16 vision projector) is the full v3 configuration. The v3 files
# live in a separate directory so the v2 artifacts stay for rollback.
MODEL_DIR=/home/dank/models/CIRU-Qwen3.8-27B-ActiveFPX-v3
MODEL_FILE=Qwen3.8-27B-CIRU-ActiveFPX-PromptForge-v3-Q8-FFNEQ-LateQ6.gguf
FFN_PFS=Qwen3.8-27B-CIRU-ActiveFPX-PromptForge-FFN.pfs
GDN_PFS=Qwen3.8-27B-CIRU-ActiveFPX-PromptForge-GDN.pfs
OUTPUT_K8_PFS=Qwen3.8-27B-CIRU-ActiveFPX-PromptForge-Output-K8.pfs
MMPROJ_FILE=Qwen3.8-27B-mmproj-BF16.mmproj
# Model files. Plain dense Qwen3.8-27B ROCmFP4 Q6 AGENT GGUF plus the standalone
# MTP draft head and the vision projector. Kingjones 2026-08-24.
MODEL_DIR=/home/dank/models/kingjones-Qwen3.8-27B-STRIX-MTP
MODEL_FILE=Qwen3.8-27B-Uncensored-Q6_0_ROCMFPX_AGENT.gguf
MTP_DRAFT_FILE=mtp-Qwen3.8-27B-Q4_0.gguf
MMPROJ_FILE=mmproj-Qwen3.8-27B-Q8_0.gguf
# ROCm 7.15 SDK paths (inside the retired ling3-ciru venv). The serve script
# exports ROCM_PATH and LD_LIBRARY_PATH from these so the 7.15 libraries
# precede any system ROCm 7.2.4.
# Qwen-Sharp chat template (tracked in the repo, staged on the host).
CHAT_TEMPLATE_FILE=/home/dank/serverAppConfigs/scripts/chat-template.jinja
# enable_thinking on by default in the Sharp template; medium effort default.
CHAT_TEMPLATE_KWARGS='{"enable_thinking":true}'
# ROCm 7.15 SDK paths (inside the retired ling3-ciru venv).
ROCM_DEVEL=/home/dank/ling3-ciru/Ling-3.0-Flash-CIRU-int4-Strix-native/.venv/lib/python3.12/site-packages/_rocm_sdk_devel
ROCM_LIB=/home/dank/ling3-ciru/Ling-3.0-Flash-CIRU-int4-Strix-native/.venv/lib/python3.12/site-packages/_rocm_sdk_libraries
ROCM_CORE=/home/dank/ling3-ciru/Ling-3.0-Flash-CIRU-int4-Strix-native/.venv/lib/python3.12/site-packages/_rocm_sdk_core
@@ -45,13 +41,9 @@ ALIAS=frank-default-large
BIND_ADDR=0.0.0.0
LISTEN_PORT=7770
# Serving: full native 262144 context (n_ctx_train), 1 slot (user request
# 2026-08-19: parallel slots degraded performance). -c is the TOTAL
# context; with PARALLEL=1 it equals the per-slot context. Concurrent
# requests queue on the single slot; the server never preempts a running
# generation. f16 KV, context checkpoints, prompt cache, native MTP
# depth-4. The Strix Halo is unified memory; rocm-smi reports the 64 GiB
# budget. KV at 262144 x 64 KiB/cell is ~16 GiB.
# Serving: full native 262144 context, 1 slot. f16 KV, context checkpoints,
# prompt cache, draft-mtp with standalone Q4_0 head, n_max 4 (the knee for
# the dense model). Unified memory; rocm-smi reports the 64 GiB budget.
CTX_SIZE=262144
PARALLEL=1
BATCH_SIZE=4096
@@ -61,22 +53,21 @@ CACHE_TYPE_V=f16
CTX_CHECKPOINTS=16
CACHE_RAM=8192
# Native MTP draft (depth-4, p_min 0, backend sampling). The qualified v3
# profile drives the draft via the Output-K8 proxy; the CPU argmax fast
# path and IU4/ngram lanes are disabled in the serve script.
# Dense-model MTP draft (standalone Q4_0 head, n_max 4). No PromptForge .pfs
# sidecars are loaded; the LLAMA_CPU_ARGMAX fast path stays off.
SPEC_DRAFT_N_MAX=4
SPEC_DRAFT_N_MIN=0
SPEC_DRAFT_P_MIN=0.0
SPEC_DRAFT_P_SPLIT=0.10
# Sampling (model card defaults).
TEMPERATURE=0.7
# Sampling (kingjones model card / Sharp default).
TEMPERATURE=1.0
TOP_K=20
TOP_P=0.95
# Thinking enabled (user request, 2026-08-18). deepseek format moves the
# <think> reasoning into message.reasoning_content (OpenAI-compatible);
# none would leave the thought tags unparsed in content.
# Thinking on (Qwen-Sharp template drives thinking on; reasoning format
# projects the tar into reasoning_content).
REASONING=on
REASONING_FORMAT=deepseek
VERBOSITY=4
VERBOSITY=4