Reproduce
Environment, model digests, and suite/label SHA-256: ENVIRONMENT.md.
Harness
Public at github.com/mobius-style/mmv, directory operate-fr-bench/
(AGPL-3.0). The four profiles used here (gemma4_12b_…,
gemma4_12b_qat_…, gemma4_26b_…, gemma4_26b_a4b_qat_…, all
…route_transformer_plus_validator_v3_1) share identical governance
flags; both Q4_0 profiles pin extra.num_ctx: 8192 because their
Modelfiles declare a 262,144-token context whose KV allocation fails on a
16 GB card (load feasibility only — suite prompts are far below 8,192
tokens). think: false everywhere. Unload the previous model
(ollama stop <tag>) between cells; a resident sibling model causes CUDA
allocation failure.
Models (Ollama tags)
gemma4:12b (PTQ Q4_K_M, 11.9B dense) · gemma4:12b-it-qat (QAT Q4_0,
11.9B dense) · gemma4:26b (PTQ Q4_K_M, 25.8B MoE) ·
gemma4:26b-a4b-it-qat (QAT Q4_0, 25.2B MoE, ~4B active). Content
digests in ENVIRONMENT.md.
Runs (sequential, one cell at a time, from operate-fr-bench/)
python3 -m harness.run_eval --suite configs/suite_smoke.yaml --profile <PROFILE> --out reports/<CELL>.jsonl
python3 -m harness.score --results reports/<CELL>.jsonl --labels data/labels/smoke100_route_labels.jsonl --out reports/<CELL>_smoke_summary.json
python3 -m harness.run_eval --suite configs/suite_core500.yaml --profile <PROFILE> --out reports/<CELL>_core500.jsonl
python3 -m harness.score --results reports/<CELL>_core500.jsonl --labels data/labels/core500_route_labels.jsonl --out reports/<CELL>_core500_summary.json
Determinism baselines and controls: Smoke-100 repeats for all four
cells (12B same-day; 26B 8–10 h later across a date boundary; all
100/100 byte-identical, including the CPU-offloaded 26B-PTQ cell), plus a
num_ctx: 8192 control re-run of the 12B-PTQ cell (100/100 byte-identical
vs default context).
Suite availability
The OPERATE-FR Smoke-100 / Core-500-candidate items are project-local and
not redistributed (they are identified by SHA-256 in ENVIRONMENT.md).
Reproduction on the same items requires access to the private suite
archive; reproduction of the design on other routing suites requires
only the public harness.
Analysis
OPFR_BENCH_ROOT=/path/to/operate-fr-bench python3 analysis/analyze_2x2.py
Deterministic (bootstrap seed 20260810; the interaction is reported with
a stem-clustered CI — primary, since Core-500 is 100 stems × 5
paraphrases — and a task-iid CI). Regenerates every routing table in
data/ from row level, including the per-family table (families read
from the suites' authoritative family fields). The safety rates quoted
in the paper come from the harness scorer's summary outputs, archived
privately with the raw rows. Row-level artifacts (13 runs, 2,900 rows, 0
errored) are excluded from the public package (see README.md); their
SHA-256 hashes are in data/RAW_ARTIFACT_HASHES.sha256.