# Tunables for frank-default-small (HauhauCS Q6_K_P + DFlash draft, dankserver)
# Runtime: llama-server b10108; RTX 3090 24GB; Ryzen 7 7700X; 62GB RAM.
MODEL_DIR=/home/dank/models
ALIAS=frank-default-small
HOST=0.0.0.0
PORT=7770
# 3 parallel slots x 262144 ctx each = 786432 total context pool.
CTX_SIZE=786432
PARALLEL=3
SPEC_TYPE=draft-dflash
SPEC_N_MAX=7
CACHE_TYPE_K=q8_0
CACHE_TYPE_V=f16
# All 40 layers keep their MoE expert weights on CPU (targeted expert offload).
N_CPU_MOE=40
# Every non-expert tensor (attention, norms, embedding, LM head) goes to GPU.
N_GPU_LAYERS=all
# Larger batches for prefill throughput. The bigger physical batch grows GPU
# activation buffers; ctx-checkpoints parks attention checkpoints in RAM to
# hold peak GPU memory down so the larger ubatch fits without OOM.
BATCH_SIZE=3072
UBATCH_SIZE=1536
CTX_CHECKPOINTS=4
THREADS=8
THREADS_HTTP=8