dankclaw: switch frank-default-large to unsloth Qwen3.8-27B UD-Q8_K_XL

- rebuild llama.cpp stock to b10433 (9b05354ec) for bundled-MTP support
- MODEL_FILE -> Qwen3.8-27B-UD-Q8_K_XL.gguf; DRAFT_FILE empty (MTP bundled)
- SPEC: draft-mtp, n_max=10, p_min off (~30 t/s stable) - matrix winner
- CTX 524288 / parallel 2 = 262144/slot (matches pi contextWindow)
- serve script: bundled-MTP (no --spec-draft-model), optional --spec-draft-p-min
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Frank committed 2026-08-14 13:26:17 -07:00
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# 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.
# Tunables for frank-default-large (unsloth Qwen3.8-27B UD-Q8_K_XL, dankclaw)
# Runtime: llama.cpp llama-server (b10433+, rebuilt 2026-08-14 for bundled-MTP
# support); AMD Strix Halo (gfx1151) 96GB UMA; Ryzen AI MAX+ 395.
MODEL_DIR=/home/dank/models
MODEL_FILE=Qwen3.8-27B-UD-Q8_K_XL.gguf
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: speculative decoding mode.
# draft-dflash - DFlash block-diffusion draft (benchmark winner pre-2026-08-14)
# BUT: premature EOS under parallel load when a new task
# reuses a cached prompt (shared draft ctx corruption). Retired.
# draft-mtp - MTP sidecar draft (a4lg/Qwen3.6-27B-MTP-ONLY-Q8_0.gguf)
# ngram-mod - draftless ngram matching (no draft model, no shared ctx)
# Benched 2026-08-14: see docs/frank-default-large-benchmark.md for the winner.
# Context pool. Qwen3.8 native context = 262144 per sequence.
# 524288 total / PARALLEL 2 = 262144 per slot, matching the pi client's
# contextWindow=262144 for frank-default-large. Model is 29GB; ROCm has
# ~70GB headroom, so 2x262k quantized KV fits. Verify at startup.
CTX_SIZE=524288
PARALLEL=2
# Spec: selected from the 2026-08-14 matrix (bench-spec-matrix.sh).
# WINNER: draft-mtp alone, n_max=10, p_min off -> ~30 t/s, STABLE, no
# premature stop. Layered draft-mtp,ngram-mod was faster on paper (median
# 133 t/s) but is non-deterministic (10-148 t/s) and shows a degenerate
# instant-EOS (tok=0) -> the same premature-stop class that retired DFlash.
# Rejected as production-unsafe.
SPEC_TYPE=draft-mtp
# Draft model file (only used when SPEC_TYPE contains 'draft-').
# DFlash: Qwen3.6-27B-DFlash-Q8_0.gguf ; MTP: Qwen3.6-27B-MTP-ONLY-Q8_0.gguf
DRAFT_FILE=Qwen3.6-27B-MTP-ONLY-Q8_0.gguf
# Draft length per spec type: dflash 8, mtp 2-3.
SPEC_DRAFT_N_MAX=3
# Bundled MTP: Qwen3.8 keeps the MTP head in the target GGUF. llama.cpp
# auto-detects it (b10411+). DRAFT_FILE MUST stay EMPTY.
DRAFT_FILE=
# Draft length + sampling floor, from the spec matrix (n_max 2..10, p_min
# off/0.8; p_min 0.8 did not help draft-mtp and slowed it slightly).
SPEC_DRAFT_N_MAX=10
SPEC_DRAFT_P_MIN=
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).
# Backend device from --list-devices. ROCm0 is the production backend.
DEVICE=ROCm0
# Dense model (Qwen3.6-27B, not MoE): no MoE CPU offload. Full offload.
# Dense model: full offload. (Not MoE.)
N_GPU_LAYERS=all
# KV on GPU, quantized (K q8_0, V q8_0). V MUST match K: this llama.cpp
# build has GGML_CUDA_FA_ALL_QUANTS=OFF, and Flash Attention requires
# K type == V type. Mixed q8_0/f16 silently disables FA, collapsing
# long-context decode to ~1 t/s at 200k ctx. q8_0 V halves V memory too.
# KV on GPU, quantized (K q8_0, V q8_0). Keep K == V for Flash Attention;
# mixed types silently disable FA (long-context decode collapses).
CACHE_TYPE_K=q8_0
CACHE_TYPE_V=q8_0
# Batch sizing: empirically verified 2026-08-13 with caches dropped.
# batch 8192 / ubatch 2048 loads and serves (61 GiB VRAM peak, ctx 602100).
# ubatch is the compute-graph driver; larger ubatch = more VRAM, faster prefill.
# Re-verified 2026-08-14 during the spec swap (see benchmark doc).
BATCH_SIZE=8192
UBATCH_SIZE=8192
# 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.
# Batch sizing (start conservative; tune after verifying memory):
# ubatch is the compute-graph driver; larger = more VRAM, faster prefill.
BATCH_SIZE=2048
UBATCH_SIZE=512
# Sampling settings — per Qwen3.8-27B model card thinking mode.
# Thinking: temp=1.0, top_p=0.95, top_k=20, min_p=0. Clients may override.
# WARNING: do not name this variable TEMP. The ROCm HIP runtime reads the
# TEMP environment variable (JIT kernel-cache dir); TEMP=1.0 made the HIP
# runtime SEGV (NULL unref) during model load on Aug 13 2026.
# runtime SEGV during model load on Aug 13 2026.
TEMPERATURE=1.0
TOP_K=20
TOP_P=0.95