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aurora.m0.M0Config snapshot from the AURORA-M0 consolidation pass on 2026-05-02. This is the AURORA leg for the H1 evaluation — the event-first model whose energy-per-useful-task ratio is compared against the LoRA-Llama-8B baseline (Anthril/lora-llama8b-aurora-baseline-2026-05-02).This is not a HuggingFacetransformersmodel. It is an AURORA-M0 fit snapshot governed by ADR-0037 (AURORA-M0 fit contract). It is loaded byaurora.m0.M0Configfrom a pickle artefact, not byfrom_pretrained. The HuggingFace Hub is used here as a versioned artefact store, not as an inference surface.
| Path | Role |
|---|---|
aurora_config.pkl | Pickled aurora.m0.M0Config instance (~507 KB). Loaded by AuroraRunner.prepare() at H1 evaluation time. |
fit-manifest.json | ADR-0037 fit contract: corpus SHA, microfield activation counts, host id, git HEAD, wall-clock, etc. |
1"microfield_observation_counts": {
2 "ActorIntentMicrofield": 1072,
3 "CausalLinkMicrofield": 11813,
4 "EntityStateMicrofield": 1166,
5 "LinguisticSurfaceMicrofield": 1000,
6 "RiskMicrofield": 1000,
7 "RoutineMicrofield": 10777,
8 "TemporalMicrofield": 23224
9}fit-manifest.json)| Field | Value |
|---|---|
fit_kind | aurora-m0-consolidation |
n_episodes_target | 1 000 |
n_episodes_materialised | 1 000 |
n_episodes_failed | 0 |
n_events_total | 25 426 |
synthetic_events_per_episode | 2 |
episodic_index_size | 1 024 |
gyms | household_scheduling, inventory_business, code_maintenance, supplier_substitution, apprenticeship_lda |
seed | 0 |
fit_started_at | 2026-05-02 T 10:47:00 Z |
fit_finished_at | 2026-05-02 T 11:22:38 Z |
fit_wallclock_s | 2 136.9 |
energy_consumed_j | 176 099.4 |
host_id | amd64-john_oconnor |
python_version | 3.14.2 |
git_head_sha | 6df834a6ab669f24f9c1f4094dcf131614edaf3b |
corpus_sha256 | 76b66f7f47312f86ca5607a07fea5fa9a33f21601a0d38c6bbaa488a16bfe0f0 |
enrichment_script_sha256 | bda253b2759063ab51761074051483dbb80177f09e15269428e7f6df37d36bff |
aurora_config_sha256 | 49fec3a8072dcbaf9693501eda1e0dded8bfd475589be9f3bee421fcf4836b3a |
spec_anchor | engineering-spec/decisions/0037-aurora-fit-contract.md |
1git clone https://huggingface.co/Anthril/aurora-m0-fit-2026-05-02-pubgrade
2# In an AURORA checkout:
3python scripts/run-stage1-h1-evaluation.py \
4 --aurora-fit aurora-m0-fit-2026-05-02-pubgrade/ \
5 --lora-adapter <path-to-lora-baseline>fit-manifest.json, validates every required field per ADR-0037 §Change 3, validates archetype activation per ADR-0037 §Change 4, and refuses to launch if either check fails (exit code 78).notes["energy_source"] >= 1.0 on every per-episode result during evaluation — measured-energy via NVML + psutil. The fit itself records energy_consumed_j = 176 099.4 from the host's energy meter; the evaluation-time energy gate is enforced separately by the comparator. Replication partners on hosts without NVML will see verdict INCONCLUSIVE_SYNTHETIC_ENERGY regardless of the quality of this snapshot.aurora Python package at the same git revision (6df834a6). The snapshot is not portable across breaking ADR revisions of the M0 contract.