frank-small: two 128k slots, no spec, ubatch 512 (Frank's tight-fit order, 2026-10-06)

CTX 262144 / PARALLEL 2 = two 131,072 conversations; SPEC_TYPE=none strips both speculative flags in the serve script (ngram-mod skipped on purpose — on a qwen35 hybrid it disables recurrent-state rollback); ubatch 1024->512 claws back ~0.3 GiB. Budget: non-KV ~15.5 GiB + two q8_0 slots 8,704 MiB lands AT the card — the 2-3 GiB floor is knowingly violated by explicit order; nvidia-smi free at boot is the measured truth. Seam retargeted: shape (2 slots, 131072/slot), budget (two fit, three don't), spec-off (absence of both flags), unit Description.
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Frank committed 2026-10-06 00:07:03 -07:00
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@@ -23,22 +23,29 @@
# => 34 KiB/token (f16 would be 64 KiB/token — halogen's 27B card quotes
# the same f16 number; at f16 the 131,072 slot alone would cost 8.0 GiB).
#
# Why ONE slot at 131,072 is the maximum (Frank's cap per conversation):
# card 24,576 MiB. Weights 11,561 MiB (12,120,016,896 B, the IQ3_S-mtp
# file; the GSQ "IQ3_S" tier is a per-tensor ALLOCATION mix — histogram
# IQ2_XS 144 / IQ3_XXS 96 / Q6_K 78 / F32 360 / BF16 96 / Q3_K_M 39 ...
# all stock types, stock llama.cpp loads it). Projector ~1,350 MiB
# (927,607,488 B F16 file at the measured ~1.45x card law). Compute
# buffers at ubatch 1024 ~1.6 GiB. CUDA ctx ~500 MiB. DeltaNet state
# ~150 MiB/slot (48 linear layers x 48 value heads x 128x128 x 4 B).
# MTP draft context ~0.3-0.5 GiB (one nextn layer over the slot window;
# the boot ledger is the truth). Non-KV ~= 15.5 GiB. One q8_0 slot =
# 4,352 MiB => free ~= 4.5 GiB. A SECOND slot wants +4,352 MiB => free
# ~0.2 GiB, far below the 2-3 GiB floor. "As many 128k contexts as fit"
# = 1. MEASURE nvidia-smi free at boot (quote the free field): under
# ~1.5 GiB or a boot failure, step the pool down in 12,288-token
# increments (~410 MiB each at this rate). Compute buffers allocate at
# graph capture during BOOT, so a failure is loud and fast.
# 2026-10-06 (Frank): drop the MTP drafter (skip ngram too — on a qwen35
# hybrid, ngram speculation disables recurrent-state rollback: fleet lesson
# from the frank-large chain measurement), drop ubatch to 512, and take TWO
# conversations at 131,072 — "should be a very tight fit", accepted
# explicitly, i.e. the 2-3 GiB floor is knowingly violated. Measured at the
# 1x131072 MTP boot (2026-10-05): 19,404 used / 4,721 MiB free.
#
# Why TWO slots at 131,072 fits, by arithmetic (pool = 2 x 131,072 =
# 262,144; the per-conversation cap stays Frank's 128k):
#
# card 24,576 MiB. Weights 11,561 MiB (the IQ3_S-mtp file; the GSQ
# "IQ3_S" tier is a per-tensor ALLOCATION mix — histogram IQ2_XS 144 /
# IQ3_XXS 96 / Q6_K 78 / F32 360 / BF16 96 / Q3_K_M 39 ... all stock
# types, stock llama.cpp loads it). Projector ~1,350 MiB (927,607,488 B
# F16 at the measured ~1.45x card law). Compute buffers at ubatch 512
# ~1.3 GiB (inferred from the measured 616 MiB/doubling rung on the 9B).
# CUDA ctx ~500 MiB. DeltaNet state ~150 MiB/slot x 2. NO draft context
# (the MTP draft ctx cost ~0.3-0.5 GiB and is gone with speculation).
# Non-KV ~15.5 GiB. Two q8_0 slots = 8,704 MiB (34 KiB/token x 131,072
# each). Predicted free at boot ~0.3-1.3 GiB. Compute buffers allocate
# at graph capture during BOOT, so a miss is loud and fast; MEASURE
# nvidia-smi free at boot (quote the free field) and let the runbook
# carry the number.
#
# Payload history (for the rollback trail): the Ornith-1.5-9B Q8_0 swap of
# earlier on 2026-10-05 (commits 77decb5..380aafa) was committed but never
@@ -66,22 +73,23 @@ ALIAS=frank-small
BIND_ADDR=0.0.0.0
LISTEN_PORT=7771
# ONE conversation at Frank's 128k cap: --ctx-size is the POOL llama.cpp
# divides across slots; 131072 / 1 = 131,072 per conversation. The cap is a
# product decision (Swift's own benchmark protocol ran at 131,072), and a
# second 131,072 slot does not fit the 2-3 GiB floor (arithmetic above).
CTX_SIZE=131072
PARALLEL=1
# TWO conversations at Frank's 128k cap (2026-10-06): --ctx-size is the
# POOL llama.cpp divides across slots; 262144 / 2 = 131,072 per
# conversation. Frank accepted the tight fit explicitly (arithmetic above);
# the per-slot window is the product contract, so models.yml stays at
# 131,072.
CTX_SIZE=262144
PARALLEL=2
# Compute-buffer geometry. Ubatch is a prefill knob (decode never moves);
# on this CUDA 3090 the curve climbs monotonically to 2048, but Frank's
# standing law for a resize is LOWER UBATCH FIRST (the measured 616 MiB rung
# on the 9B; the 27B's buffers are larger, so the claw-back is worth more).
# The pair is a measurement, not a law: if boot lands well above the floor,
# ubatch 2048 is the first thing to A/B for prefill (loud failure at graph
# capture if it does not fit).
# on the 9B the 1024->2048 rung measured +4.6 % prefill for 616 MiB, and
# Frank's 2026-10-06 order spends the other direction: ubatch 512 claws
# back ~0.3 GiB toward the second slot at some prefill cost. The pair is a
# measurement, not a law: ubatch 1024 is the first A/B back if a future
# boot lands with headroom (loud failure at graph capture if it does not
# fit).
BATCH_SIZE=4096
UBATCH_SIZE=1024
UBATCH_SIZE=512
# The KV contract for this swap (Frank, 2026-10-05): q8_0 K + q8_0 V —
# llama.cpp's FP8 class. The flags stay explicit so the choice is visible in
@@ -92,12 +100,13 @@ UBATCH_SIZE=1024
CACHE_TYPE_K=q8_0
CACHE_TYPE_V=q8_0
# Speculative decoding: the MTP head is IN the -mtp file (blk.64.nextn.*,
# nextn_predict_layers=1), so draft-mtp needs no second model and no second
# KV pool — the head shares the main model's weights. Depth 3 matches the
# fleet's radiance MTP depth; measure draft acceptance from the response
# timings object and retune here if the head earns more.
SPEC_TYPE=draft-mtp
SPEC_DRAFT_N_MAX=3
# Speculative decoding is OFF (Frank, 2026-10-06): no draft-mtp, and
# ngram-mod is skipped too — on a qwen35 hybrid ngram disables
# recurrent-state rollback, so a rejected draft would corrupt the DeltaNet
# state. SPEC_TYPE=none strips BOTH speculative flags in the serve script
# (flags move as a set). The -mtp file still carries the head; it is simply
# not drafted with. Measured MTP reference (2026-10-05): 44.8 % acceptance
# at the recipe temperature => 58.9 t/s, 52.1 % at temp 0.8 => 66.1 t/s.
SPEC_TYPE=none
NGL=99