Frank
fbfbc5c6db
Operator request (2026-08-22): the primary inference server (frank-default-large, the 27B CIRU model on Dankclaw) moves to the standard llama.cpp port 7770. Both LLM services now listen on :7770, distinguished by host (dankserver vs dankclaw). Functional changes: - scripts/frank-default-large.env: LISTEN_PORT 52625 -> 7770 - scripts/serve-frank-large.sh: default LISTEN_PORT 52625 -> 7770 - scripts/deploy.sh: LLM_HEALTH[dankclaw] -> :7770 - open-webui quadlet: OPENAI_API_BASE_URL -> 192.168.0.143:7770 (re-pointed so chat keeps working; data dir preserved) - scripts/bench-fast-greedy.sh: PORT 52625 -> 7770 Tests updated to the new topology (both LLM endpoints on :7770 by host; open-webui -> :7770). Docs + pi KB updated; dated historical runbooks keep their point-in-time ports. models.json (pi client) re-pointed to :7770 separately, effective on the next client restart.
83 lines
3.7 KiB
Bash
83 lines
3.7 KiB
Bash
# Tunables for frank-default-large (CIRU llama.cpp, dankclaw, Strix Halo
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# gfx1151).
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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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#
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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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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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# 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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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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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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CTX_SIZE=262144
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PARALLEL=1
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BATCH_SIZE=4096
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UBATCH_SIZE=4096
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CACHE_TYPE_K=f16
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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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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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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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REASONING=on
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REASONING_FORMAT=deepseek
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VERBOSITY=4
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