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serverAppConfigs/scripts/frank-default-large.env
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# Tunables for frank-default-large (HauhauCS Qwen3.6-27B Q8_K_P, DFlash+ngram-mod, dankclaw)
# Runtime: llama.cpp llama-server; AMD Strix Halo (gfx1151) 96GB UMA; Ryzen AI MAX+ 395.
MODEL_DIR=/home/dank/models
ALIAS=frank-default-large
HOST=0.0.0.0
PORT=7770
# 3 parallel slots x 200700 ctx each = 602100 total context pool.
CTX_SIZE=602100
PARALLEL=3
# Spec: DFlash draft model. Bench (4k, ROCm) showed draft-dflash fastest
# generation (20.2 t/s): DFlash+ngram 16.9, ngram-only 8.7. ngram layering
# reduced throughput, so it is not layered in production.
SPEC_TYPE=draft-dflash
SPEC_DRAFT_N_MAX=8
SPEC_NGRAM_MOD_N_MIN=48
SPEC_NGRAM_MOD_N_MAX=64
SPEC_NGRAM_MOD_N_MATCH=24
# Backend device from --list-devices. ROCm wins on generation; Vulkan renders
# DFlash spec unusable (NONE-op abort) and gen is slower on ngram (6.9 t/s).
DEVICE=ROCm0
# Dense model (Qwen3.6-27B, not MoE): no MoE CPU offload. Full offload.
N_GPU_LAYERS=all
# KV on GPU, quantized (K q8_0, V f16).
CACHE_TYPE_K=q8_0
CACHE_TYPE_V=f16
BATCH_SIZE=2048
UBATCH_SIZE=512
THREADS=8
THREADS_HTTP=8