# 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
# 6 parallel slots x 65536 ctx each = 393216 total context pool.
CTX_SIZE=393216
PARALLEL=6
# Spec: DFlash draft model layered with ngram-mod. --spec-type accepts a
# comma-separated list; llama.cpp chains the implementations (verified in
# common/speculative.cpp). --spec-draft-n-max must stay below the DFlash
# block size (BF16 sidecar = 8 token block), so 8 is the ceiling.
SPEC_TYPE=draft-dflash,ngram-mod
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 for offload, from --list-devices. Pick the faster of:
#   ROCm0    (HIP / ROCm backend)
#   Vulkan0  (RADV Vulkan backend)
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); mirrors the small service profile.
CACHE_TYPE_K=q8_0
CACHE_TYPE_V=f16
BATCH_SIZE=2048
UBATCH_SIZE=512
THREADS=8
THREADS_HTTP=8