# Tunables for frank-default-large (agentionai/Qwen3.8-Flash-Next-ROCmFP4- # FAST-imatrix-GGUF on the charlie12345/ROCmFPX llama.cpp runtime, # build-qwen38, Dankclaw, Strix Halo gfx1151 unified memory). # # Runtime: charlie12345/ROCmFPX llama.cpp at # /home/dank/GitPackages/ROCmFPX/build-qwen38 (HIP, ROCm 7.2.4, gfx1151, # PR #27742 qwen4exp merged). The ROCmFP4 quant types are hand-ported from # ciru-ai/ROCmFPX; upstream llama.cpp cannot load this GGUF. Replaced the # jcbtc CIRU v1.1 (ciru-ai runtime) and kingjones STRIX_LEAN deployments. # # Model: Qwen3.8-Flash-Next base (qwen4exp MoE: 512 experts / 10 used, # 48 layers = 12 attention + 36 SSM, QSA indexer, hyper-connections, PLE # at layer 1) quantized Q4_0_ROCMFP4_FAST imatrix-calibrated, 87.06 GiB, # 4.23 bpw. The n-gram PLE table is split per head inside the single GGUF # (fully VRAM-resident — no ple sidecar, no --ngram-on-disk). Vision tower # (f16, lossless) ships as mmproj/. The model's own MTP head (2.28 GiB, # matched ROCmFP4-FAST quant, ~66% draft acceptance) drives spec decoding. # # Profile: card sampling table (temp 0.7, top_p 0.80, top_k 20, min_p 0.0, # presence 1.5 — non-thinking instruct) mixed with the validated # build-qwen38 serving profile: ctx 262144 x 1 slot, b 4096 / ub 4096, # t 16 / tb 16 (threads-batch 16 measured best for prefill), f16 KV, fa on, # cont-batching, prompt cache + 8 GiB cache-ram + idle-slot cache, 16 ctx # checkpoints, --fit off (auto-fit segfaults on qwen4exp # hyper-connection/indexer config). MTP depth 3 (n-max 3 measured best on # this head; adaptive p-split measured worse, left off). The Qwen-Sharp # chat template is kept on purpose (chat-template.jinja): the service keeps # emitting reasoning in DeepSeek format for its clients. # # 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. # ROCmFPX (build-qwen38) runtime binary. LLAMA_BIN=/home/dank/GitPackages/ROCmFPX/build-qwen38/bin/llama-server # Model package from # https://huggingface.co/agentionai/Qwen3.8-Flash-Next-ROCmFP4-FAST-imatrix-GGUF # Layout: single main GGUF (per-head PLE table, fully VRAM-resident) + # mmproj/ vision tower. The MTP draft head lives in # /home/dank/models/mtp-Qwen3.8-Flash-Next-FAST (already on the host). MODEL_DIR=/home/dank/models/agentionai-Qwen3.8-Flash-Next-ROCmFP4-FAST MODEL_FILE=Qwen3.8-Flash-Next-ROCmFP4-FAST-imatrix-v2-ple16.gguf MMPROJ_PATH=/home/dank/models/agentionai-Qwen3.8-Flash-Next-ROCmFP4-FAST/mmproj/mmproj-Qwen3.8-Flash-Next-f16.gguf # Qwen-Sharp chat template (tracked in the repo, staged on the host). The # Sharp template drives thinking on by default (medium effort); the server # emits reasoning in DeepSeek format so clients receive reasoning_content # separately instead of literal thinking tags in content. CHAT_TEMPLATE_FILE=/home/dank/serverAppConfigs/scripts/chat-template.jinja CHAT_TEMPLATE_KWARGS='{"enable_thinking":true,"preserve_thinking":true,"preserve_reasoning":true}' # Alias + network. ALIAS=frank-default-large BIND_ADDR=0.0.0.0 LISTEN_PORT=7770 # Serving: 262144-token context on ONE slot (parallel 1), batch 4096 / # ubatch 4096, 16+16 threads, f16 KV, 16 context checkpoints, 8 GiB # prompt cache. --fit off: auto-fit segfaults on this model's # hyper-connection/indexer config; -ngl 999 puts every layer on the # SVM-backed GPU pool. CTX_SIZE=262144 PARALLEL=1 BATCH_SIZE=4096 UBATCH_SIZE=4096 NUM_THREADS=16 THREAD_BATCH=16 CACHE_TYPE_K=f16 CACHE_TYPE_V=f16 CTX_CHECKPOINTS=16 CACHE_RAM=8192 SLOT_SAVE_PATH=/home/dank/serverAppConfigs/scripts/slot-state SPLIT_MODE=none FIT=off NGL=999 # Sampling (card instruct table, non-thinking). TEMPERATURE=0.7 TOP_K=20 TOP_P=0.8 MIN_P=0.0 PRESENCE_PENALTY=1.5 # Reasoning on (Sharp template drives it; preserve_thinking + preserve_reasoning # keep the reasoning trail in the conversation). DeepSeek format projects the # reasoning into the API's reasoning_content field instead of literal thinking # tags. REASONING=on REASONING_FORMAT=deepseek # Strix Halo unified memory + native gfx1151. HSA_OVERRIDE_GFX_VERSION=11.5.1 VERBOSITY=4 # Speculative decoding: the model's own MTP head (agentionai # Qwen3.8-Flash-Next-MTP-ROCmFP4-FAST-GGUF, 2.28 GiB, ROCmFP4-FAST quant # matched to the target) at depth 3 stacked on ngram-mod. n-max 3 measured # best (32.4 t/s, 0.612 acceptance); adaptive p-split measured worse, so it # stays off (p-min stays at the 0.75 default). Set SPEC_TYPE=none to disable. DRAFT_MODEL_DIR=/home/dank/models/mtp-Qwen3.8-Flash-Next-FAST DRAFT_MODEL_FILE=Qwen3.8-Flash-Next-MTP-ROCmFP4-FAST.gguf SPEC_TYPE=draft-mtp,ngram-mod SPEC_DRAFT_N_MAX=3 SPEC_DRAFT_N_MIN=0 SPEC_DRAFT_P_MIN=0.75 SPEC_DRAFT_NGL=999 SPEC_DRAFT_DEVICE=ROCm0 SPEC_DRAFT_TYPE_K=f16 SPEC_DRAFT_TYPE_V=f16