# Tunables for frank-default-small (CIRU llama.cpp, dankclaw, Strix Halo # gfx1151). # # Runtime: the PromptForge llama-server built from ciru-ai/ROCmFPX tag # qwen3.8-activefpx-promptforge-v2.3 serving # jcbtc/Qwen3.8-27B-CIRU-ActiveFPX-PromptForge (v2). ActiveFPX compact # GGUF with PromptForge companions for CIRU DualView prompt acceleration and # native depth-4 MTP. Alias frank-default-small, port 52625. # # This runtime replaced the retired vLLM service that previously occupied # this slot. See docs/ciru-activefpx-promptforge.md. # # 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 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. LLAMA_BIN=/home/dank/ciru-qwen38/ROCmFPX/build-promptforge/bin/llama-server # Model files. The three-file payload (v2 GGUF + FFN + GDN) enables CIRU # DualView prompt acceleration; omit the two .pfs files to run the GGUF alone # and save ~19.7 GiB of memory at the cost of prompt throughput. MODEL_DIR=/home/dank/models/CIRU-Qwen3.8-27B-ActiveFPX MODEL_FILE=Qwen3.8-27B-CIRU-ActiveFPX-PromptForge-v2.gguf FFN_PFS=Qwen3.8-27B-CIRU-ActiveFPX-PromptForge-FFN.pfs GDN_PFS=Qwen3.8-27B-CIRU-ActiveFPX-PromptForge-GDN.pfs # 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. 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 ALIAS=frank-default-small BIND_ADDR=0.0.0.0 LISTEN_PORT=52625 # Serving: 128K context (user request, 2026-08-18; model card default is # 64K), single slot, f16 KV, context checkpoints, prompt cache. Native MTP # depth-4. KV at 128K is 8 GiB (64 KiB/token); estimated total ~43 GiB of # the 64 GiB SVM pool, leaving ~21 GiB headroom. CTX_SIZE=131072 PARALLEL=1 BATCH_SIZE=2048 UBATCH_SIZE=2048 CACHE_TYPE_K=f16 CACHE_TYPE_V=f16 CTX_CHECKPOINTS=32 CACHE_RAM=8192 # Native MTP draft (depth-4, greedy, ROCm-safe CPU argmax fast path). 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 TOP_P=0.95 # Thinking enabled (user request, 2026-08-18). deepseek format moves the # reasoning into message.reasoning_content (OpenAI-compatible); # none would leave the thought tags unparsed in content. REASONING=on REASONING_FORMAT=deepseek VERBOSITY=4