Revert frank-default-large to CIRU runtime (DFlash2 too slow)

Restore the CIRU ROCmFPX setup that DFlash2 replaced:

- Restore jcbtc/Qwen3.8-27B-CIRU-ActiveFPX-PromptForge v2 runtime
  (native depth-4 MTP, PromptForge DualView, ROCm 7.15)
- Archive the DFlash2 Vulkan deployment files in .AGENTTRASH
- DFlash2 was retired the same day it shipped (2026-08-21) for speed
- Revert docs (deployment.md, index.md, AGENTS.md); mark dflash2 page archived
- Restored scripts are byte-identical to the pre-swap CIRU versions
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Frank committed 2026-08-21 10:15:23 -07:00
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@@ -1,36 +1,51 @@
# Tunables for frank-default-large (upstream llama.cpp PR #27342 DFlash2,
# Vulkan backend, dankclaw, Strix Halo gfx1151).
# Tunables for frank-default-large (CIRU llama.cpp, dankclaw, Strix Halo
# gfx1151).
#
# Runtime: llama.cpp PR #27342 built with GGML_VULKAN=ON serving
# unsloth/Qwen3.8-27B-UD-Q8_K_XL (target) with a z-lab DFlash2 drafter
# (Qwen3.8-27B-DFlash2-Q4_K_M). Target at 31.4 GB, DFlash2 drafter at 2.0 GB.
# Alias frank-default-large, port 52625.
# 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.
#
# DFlash2 runs on the Vulkan (RADV) backend. Its candidate selector needs
# TOP_K + ARGMAX, which the HIP backend does not implement. This replaced
# the CIRU HIP runtime on 2026-08-21. See docs/dflash2-large-vulkan.md.
# 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). This deployment uses Vulkan, not HIP, but the rule stays for
# portability.
# 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.
# Upstream llama.cpp DFlash2 binary (PR #27342, Vulkan build).
LLAMA_BIN=/home/dank/llama.cpp-dflash2/build-dflash2/bin/llama-server
# 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 target (UD-Q8_K_XL) was already on disk; the DFlash2
# drafter was added for this deployment. Both live in /home/dank/models.
MODEL_DIR=/home/dank/models
MODEL_FILE=Qwen3.8-27B-UD-Q8_K_XL.gguf
DRAFT_FILE=Qwen3.8-27B-DFlash2-Q4_K_M.gguf
# 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, 1 slot. The Vulkan device reports
# 113942 MiB; KV at 262144 x 64 KiB/cell is ~16 GiB. rocm-smi reports the
# 64 GiB budget; trust the runtime for the addressable SVM pool.
# 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=4096
@@ -40,21 +55,20 @@ CACHE_TYPE_V=f16
CTX_CHECKPOINTS=16
CACHE_RAM=8192
# DFlash2 speculative decoding. The drafter's trained block size is 8;
# SPEC_DRAFT_N_MAX clamps to it. TOP_K selector (top 16 candidates).
SPEC_TYPE=draft-dflash
SPEC_DRAFT_N_MAX=8
# 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, thinking-general).
# Sampling (model card defaults).
TEMPERATURE=0.7
TOP_P=0.95
# Thinking enabled. deepseek format moves the thinking reasoning into
# message.reasoning_content (OpenAI-compatible).
# 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
VERBOSITY=4