# Tunables for frank-default-large (CIRU llama.cpp, dankclaw, Strix Halo
# gfx1151).
#
# Runtime: the PromptForge llama-server built from ciru-ai/ROCmFPX tag
# qwen3.8-activefpx-promptforge-v2.3 serving
# jcbtc/Qwen3.8-27B-CIRU-ActiveFPX-PromptForge (v2). ActiveFPX compact
# GGUF with PromptForge companions for CIRU DualView prompt acceleration and
# native depth-4 MTP. Alias frank-default-large, port 52625.
#
# This runtime replaced the retired vLLM service that previously occupied
# this slot. See docs/ciru-activefpx-promptforge.md.
#
# WARNING: do not name any variable TEMP, HOST, or GPU_MAX_HEAP_SIZE. The ROCm
# HIP runtime reads those bare env vars (see the 2026-08-13 TEMP incident).
# llama.cpp reads --host/--port/--temp as CLI flags, never as env vars.

# CIRU llama-server binary (ROCmFPX v2.3 build, see docs/ciru runtime page).
# Built against the private TheRock ROCm 7.15 SDK kept in the retired
# ling3-ciru venv. ROCm 7.15 is required for the advertised Strix Halo
# performance; the system ROCm 7.2.4 selects slower/fallback kernels.
LLAMA_BIN=/home/dank/ciru-qwen38/ROCmFPX/build-promptforge/bin/llama-server

# Model files. The three-file payload (v2 GGUF + FFN + GDN) enables CIRU
# DualView prompt acceleration; omit the two .pfs files to run the GGUF alone
# and save ~19.7 GiB of memory at the cost of prompt throughput.
MODEL_DIR=/home/dank/models/CIRU-Qwen3.8-27B-ActiveFPX
MODEL_FILE=Qwen3.8-27B-CIRU-ActiveFPX-PromptForge-v2.gguf
FFN_PFS=Qwen3.8-27B-CIRU-ActiveFPX-PromptForge-FFN.pfs
GDN_PFS=Qwen3.8-27B-CIRU-ActiveFPX-PromptForge-GDN.pfs

# ROCm 7.15 SDK paths (inside the retired ling3-ciru venv). The serve script
# exports ROCM_PATH and LD_LIBRARY_PATH from these so the 7.15 libraries
# precede any system ROCm 7.2.4.
ROCM_DEVEL=/home/dank/ling3-ciru/Ling-3.0-Flash-CIRU-int4-Strix-native/.venv/lib/python3.12/site-packages/_rocm_sdk_devel
ROCM_LIB=/home/dank/ling3-ciru/Ling-3.0-Flash-CIRU-int4-Strix-native/.venv/lib/python3.12/site-packages/_rocm_sdk_libraries
ROCM_CORE=/home/dank/ling3-ciru/Ling-3.0-Flash-CIRU-int4-Strix-native/.venv/lib/python3.12/site-packages/_rocm_sdk_core

ALIAS=frank-default-large
BIND_ADDR=0.0.0.0
LISTEN_PORT=52625

# Serving: full native 262144 context (n_ctx_train), 1 slot (user request
# 2026-08-19: parallel slots degraded performance). -c is the TOTAL
# context; with PARALLEL=1 it equals the per-slot context. Concurrent
# requests queue on the single slot; the server never preempts a running
# generation. f16 KV, context checkpoints, prompt cache, native MTP
# depth-4. The Strix Halo is unified memory; rocm-smi reports the 64 GiB
# budget. KV at 262144 x 64 KiB/cell is ~16 GiB.
CTX_SIZE=262144
PARALLEL=1
BATCH_SIZE=2048
UBATCH_SIZE=2048
CACHE_TYPE_K=f16
CACHE_TYPE_V=f16
CTX_CHECKPOINTS=16
CACHE_RAM=8192

# Native MTP draft (depth-4, greedy, ROCm-safe CPU argmax fast path).
SPEC_DRAFT_N_MAX=4
SPEC_DRAFT_N_MIN=0
SPEC_DRAFT_P_MIN=0.0
SPEC_DRAFT_P_SPLIT=0.10

# Sampling (model card defaults).
TEMPERATURE=0.7
TOP_P=0.95

# Thinking enabled (user request, 2026-08-18). deepseek format moves the
# <think> reasoning into message.reasoning_content (OpenAI-compatible);
# none would leave the thought tags unparsed in content.
REASONING=on
REASONING_FORMAT=deepseek

VERBOSITY=4