- runtime: charlie build-qwen38 -> kingjones30/ROCmFPX (card recipe build, LLAMA_BUILD_WEBUI=OFF since npm/HF-bucket provisioning fails; all 35 of our serving flags verified present in the tree) - model: agentionai FAST imatrix -> kingjones777 STRIX single GGUF (on-host copy sha256 == HF LFS oid c6770d74...49fa verified) - args unchanged from our validated profile (401408x2, b4096/ub512, t16/tb16, f16 KV, fa on, fit off); mmap stays default per card (PLE streams via page cache; --no-mmap = silent cgroup OOM)
126 lines
5.4 KiB
Bash
126 lines
5.4 KiB
Bash
# Tunables for frank-default-large (kingjones777/Qwen3.8-Flash-Next-ROCmFP4-
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# STRIX-GGUF on the kingjones30/ROCmFPX llama.cpp runtime, Dankclaw,
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# Strix Halo gfx1151, unified memory).
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#
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# Runtime: kingjones30/ROCmFPX (fork of charlie12345/ROCmFPX with the
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# qwen4exp-on-rocmfpx-d3ca537 patch applied — the model card's pinned
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# runtime: ROCmFP4 tensor types AND the qwen4exp architecture in one
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# tree; stock llama.cpp and charlie's fork alone cannot load this GGUF).
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# Built per the card recipe:
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# cmake -B build -DGGML_HIP=ON -DGPU_TARGETS=gfx1151 -DGGML_NATIVE=ON -DCMAKE_BUILD_TYPE=Release
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# at /home/dank/GitPackages/kingjones-ROCmFPX/build.
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# Replaced the agentionai ROCmFP4-FAST imatrix deployment (charlie's
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# build-qwen38 runtime) on 2026-08-30.
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#
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# Model: Qwen3.8-Flash-Next base (qwen4exp MoE: 512 experts / 10 used,
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# 48 layers = 12 attention + 36 SSM, QSA indexer, hyper-connections, PLE
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# at layer 1), Q4_0_ROCMFP4_STRIX (file_type 105), 113.47 GiB single
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# file. STRIX is the top quality tier: PLE table at Q8_0 (50.66 GiB),
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# token embeddings + lm head at Q6_K. The PLE table NEVER enters GPU
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# memory — it streams from the file through the OS page cache. Two hard
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# card constraints:
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# 1. mmap MUST stay enabled (default) — --no-mmap forces the 50.66 GiB
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# table into anonymous memory and the cgroup killer takes the
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# process with nothing in the server log (only dmesg).
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# 2. Do NOT pin the PLE tensor to CPU with -ot — measured gen fell
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# ~23 -> 13.4 tok/s; the kernel streams it better.
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# NOTE: the card's own build_attn_qsa still calls ggml_fill on the
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# F16-cast kq mask (the path that aborted our charlie build with
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# --flash-attn on before scripts/patches/qwen4exp-qsa-f32-mask.patch).
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# If a clean kingjones-tree build aborts graph build with
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# GGML_ASSERT(a-type == GGML_TYPE_F32), port that fix (F32 base mask +
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# cast at the attention call) into this tree and rebuild.
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#
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# 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
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# incident). llama.cpp reads --host/--port/--temp as CLI flags, never as
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# env vars.
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# kingjones30/ROCmFPX runtime binary (card recipe build).
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LLAMA_BIN=/home/dank/GitPackages/kingjones-ROCmFPX/build/bin/llama-server
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# Model package from
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# https://huggingface.co/kingjones777/Qwen3.8-Flash-Next-ROCmFP4-STRIX-GGUF
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# Layout: single unsharded GGUF, text-only (the repo ships no mmproj;
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# the vision tower below is borrowed from the agentionai FAST package —
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# same base model, f16 — kept only if it loads clean, drop
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# MMPROJ_PATH if it does not).
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MODEL_DIR=/home/dank/models/kingjones-Qwen3.8-Flash-Next-ROCmFP4-STRIX
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MODEL_FILE=Qwen3.8-Flash-Next-Q4_0-ROCmFP4-STRIX.gguf
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MMPROJ_PATH=/home/dank/models/agentionai-Qwen3.8-Flash-Next-ROCmFP4-FAST/mmproj/mmproj-Qwen3.8-Flash-Next-f16.gguf
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# Qwen-Sharp chat template (tracked in the repo, staged on the host). The
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# Sharp template drives thinking on by default (medium effort); the server
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# emits reasoning in DeepSeek format so clients receive reasoning_content
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# separately instead of literal thinking tags in content.
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CHAT_TEMPLATE_FILE=/home/dank/serverAppConfigs/scripts/chat-template.jinja
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CHAT_TEMPLATE_KWARGS='{"enable_thinking":true,"preserve_thinking":true,"preserve_reasoning":true}'
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# Alias + network.
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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: 401408-token context, TWO slots (parallel 2), batch 4096 /
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# ubatch 512, 16+16 threads, f16 KV, 16 context checkpoints, 8 GiB
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# prompt cache. --fit off: auto-fit segfaults on this model's
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# hyper-connection/indexer config; -ngl 999 puts every layer on the
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# SVM-backed GPU pool. ubatch 512 matches the card's re-measurement
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# (-ub 1024/2048/4096 showed no effect; -t 32 vs 16 is noise).
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#
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# CTX_SIZE=401408 / PARALLEL=2: carried over from the FAST deployment
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# where it loaded clean (~74 s, health 200). The card measures the full
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# 262144 window at ~71.7 GiB GTT at load on the same 128 GB board; QSA
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# caps KV growth so the extra window is cheap. KV footprint scales
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# with the 12 attention layers only. Verify load on first STRIX boot.
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CTX_SIZE=401408
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PARALLEL=2
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BATCH_SIZE=4096
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UBATCH_SIZE=512
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NUM_THREADS=16
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THREAD_BATCH=16
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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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SLOT_SAVE_PATH=/home/dank/serverAppConfigs/scripts/slot-state
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SPLIT_MODE=none
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FIT=off
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NGL=999
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FLASH_ATTN=on
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# Sampling (card instruct table, non-thinking).
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TEMPERATURE=0.7
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TOP_K=20
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TOP_P=0.8
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MIN_P=0.0
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PRESENCE_PENALTY=1.5
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# Reasoning on (Sharp template drives it; preserve_thinking + preserve_reasoning
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# keep the reasoning trail in the conversation). DeepSeek format projects the
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# reasoning into the API's reasoning_content field instead of literal thinking
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# tags.
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REASONING=on
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REASONING_FORMAT=deepseek
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# Strix Halo unified memory + native gfx1151.
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HSA_OVERRIDE_GFX_VERSION=11.5.1
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VERBOSITY=4
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# Speculative decoding: disabled. The card's Usage block ships no spec
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# flags. The Flash-Next MTP heads do not load on this loader (requires
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# per-layer blk.N.hc_attn_norm; every head carries only blk.48 —
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# verified 3x on build-qwen38). DRAFT_MODEL_* point at the retired
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# agentionai FAST head and are unused while SPEC_TYPE=none.
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DRAFT_MODEL_DIR=/home/dank/models/mtp-Qwen3.8-Flash-Next-FAST
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DRAFT_MODEL_FILE=Qwen3.8-Flash-Next-MTP-ROCmFP4-FAST.gguf
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SPEC_TYPE=none
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SPEC_DRAFT_N_MAX=3
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SPEC_DRAFT_N_MIN=0
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SPEC_DRAFT_P_MIN=0.75
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SPEC_DRAFT_NGL=999
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SPEC_DRAFT_DEVICE=ROCm0
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SPEC_DRAFT_TYPE_K=f16
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SPEC_DRAFT_TYPE_V=f16 |