# 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, fp16 (unquantized). Default ggml_type for both K and V.
# Batch sizing: fp16 KV is larger than q8_0, but user has verified this
# configuration fits. See frank-default-large-benchmark.md.
BATCH_SIZE=8192
UBATCH_SIZE=2048
# Sampling settings — per HauhauCS Qwen3.6-27B model card.
# Thinking-general: temp=1.0, top_p=0.95, top_k=20, min_p=0.
# Clients may override per-request; these are the server-side defaults.
TEMP=1.0
TOP_K=20
TOP_P=0.95
MIN_P=0.0
THREADS=12
THREADS_HTTP=1