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