Swap frank-default-large to DFlash2 on Vulkan (PR #27342)
Replace the retired CIRU ROCmFPX runtime with upstream llama.cpp PR #27342 DFlash2 on the Vulkan backend: - Target: unsloth Qwen3.8-27B-UD-Q8_K_XL.gguf (31.4 GB, already on disk) - Drafter: z-lab Qwen3.8-27B-DFlash2-Q4_K_M.gguf (block size 8, top-k 16) - Runtime: /home/dank/llama.cpp-dflash2/build-dflash2/bin/llama-server (GGML_VULKAN=ON; HIP lacks TOP_K so the stack runs on Vulkan0/RADV) - spec: --spec-type draft-dflash --spec-draft-n-max 8 (clamps to 7) Validated 2026-08-21 on scratch port 52626: mean acceptance 5.27, health + reasoning completion OK. Archive the retired CIRU .env/.serve script in .AGENTTRASH. Update deployment.md, index.md, AGENTS.md; add docs/dflash2-large-vulkan.md.
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@@ -1,51 +1,36 @@
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# Tunables for frank-default-large (CIRU llama.cpp, dankclaw, Strix Halo
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# gfx1151).
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# Tunables for frank-default-large (upstream llama.cpp PR #27342 DFlash2,
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# Vulkan backend, dankclaw, Strix Halo 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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# Runtime: llama.cpp PR #27342 built with GGML_VULKAN=ON serving
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# unsloth/Qwen3.8-27B-UD-Q8_K_XL (target) with a z-lab DFlash2 drafter
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# (Qwen3.8-27B-DFlash2-Q4_K_M). Target at 31.4 GB, DFlash2 drafter at 2.0 GB.
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# 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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# DFlash2 runs on the Vulkan (RADV) backend. Its candidate selector needs
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# TOP_K + ARGMAX, which the HIP backend does not implement. This replaced
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# the CIRU HIP runtime on 2026-08-21. See docs/dflash2-large-vulkan.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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# WARNING: do not name any variable TEMP, HOST, or GPU_MAX_HEAP_SIZE. The
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# ROCm HIP runtime reads those bare env vars (see the 2026-08-13 TEMP
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# incident). This deployment uses Vulkan, not HIP, but the rule stays for
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# portability.
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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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# Upstream llama.cpp DFlash2 binary (PR #27342, Vulkan build).
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LLAMA_BIN=/home/dank/llama.cpp-dflash2/build-dflash2/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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# Model files. The target (UD-Q8_K_XL) was already on disk; the DFlash2
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# drafter was added for this deployment. Both live in /home/dank/models.
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MODEL_DIR=/home/dank/models
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MODEL_FILE=Qwen3.8-27B-UD-Q8_K_XL.gguf
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DRAFT_FILE=Qwen3.8-27B-DFlash2-Q4_K_M.gguf
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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 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. The Vulkan device reports
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# 113942 MiB; KV at 262144 x 64 KiB/cell is ~16 GiB. rocm-smi reports the
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# 64 GiB budget; trust the runtime for the addressable SVM pool.
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CTX_SIZE=262144
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PARALLEL=1
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BATCH_SIZE=4096
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@@ -55,20 +40,21 @@ 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, greedy, ROCm-safe CPU argmax fast path).
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SPEC_DRAFT_N_MAX=4
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# DFlash2 speculative decoding. The drafter's trained block size is 8;
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# SPEC_DRAFT_N_MAX clamps to it. TOP_K selector (top 16 candidates).
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SPEC_TYPE=draft-dflash
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SPEC_DRAFT_N_MAX=8
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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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# Sampling (model card defaults, thinking-general).
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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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# Thinking enabled. deepseek format moves the thinking reasoning into
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# message.reasoning_content (OpenAI-compatible).
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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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