32 lines
1.1 KiB
Bash
32 lines
1.1 KiB
Bash
# 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
|