Frank
a08be1641f
llama.cpp splits -c across -np slots; to give each of the 2 slots the full 262144 native context, set CTX_SIZE=524288. KV ~32 GiB; fits the 96 GiB unified pool. Update env default, serve-script fallback, and the deployment doc line.
75 lines
3.2 KiB
Bash
75 lines
3.2 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 serving
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# jcbtc/Qwen3.8-27B-CIRU-ActiveFPX-PromptForge (v2). ActiveFPX compact
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# GGUF with PromptForge companions for CIRU DualView prompt acceleration and
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# native depth-4 MTP. Alias frank-default-large, port 52625.
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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 build, see docs/ciru runtime page).
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# Built against the private TheRock ROCm 7.15 SDK kept in the retired
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# ling3-ciru venv. ROCm 7.15 is required for the advertised Strix Halo
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# performance; the system ROCm 7.2.4 selects 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. The three-file payload (v2 GGUF + FFN + GDN) enables CIRU
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# DualView prompt acceleration; omit the two .pfs files to run the GGUF alone
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# and save ~19.7 GiB of memory at the cost of prompt throughput.
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MODEL_DIR=/home/dank/models/CIRU-Qwen3.8-27B-ActiveFPX
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MODEL_FILE=Qwen3.8-27B-CIRU-ActiveFPX-PromptForge-v2.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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# 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=52625
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# Serving: full native 256K context PER SLOT (n_ctx_train = 262144), 2
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# slots. -c is the TOTAL context; llama.cpp splits it across the -np slots,
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# so to give each slot the full 262144 we set CTX_SIZE = 2 x 262144 =
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# 524288. f16 KV, context checkpoints, prompt cache, native MTP depth-4.
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# The Strix Halo is unified memory; the addressable pool is 96 GiB (VRAM is
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# a pointer). KV at 524288 x 64 KiB/cell is ~32 GiB; total sits inside the
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# 96 GiB pool.
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CTX_SIZE=524288
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PARALLEL=2
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BATCH_SIZE=2048
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UBATCH_SIZE=2048
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CACHE_TYPE_K=f16
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CACHE_TYPE_V=f16
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CTX_CHECKPOINTS=32
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CACHE_RAM=8192
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# Native MTP draft (depth-4, greedy, ROCm-safe CPU argmax fast path).
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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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