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cyberandy/Alpino-e4b-v02
Alpino-e4b-v02 is a machine learning model from cyberandy. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft.
Superseded by cyberandy/Alpino-e4b-v05 (2026-09-13). This repository is the frozen A.9 evidence-bearing release; kept for that record. Weights and pinned revisions are unchanged; the current lineage, floor results and…
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From the Hugging Face model README
Superseded by
cyberandy/Alpino-e4b-v05(2026-09-13). This repository is the frozen A.9 evidence-bearing release; kept for that record. Weights and pinned revisions are unchanged; the current lineage, floor results and provenance are tracked in the v0.5 model card.
Alpino-e4b-v02 is the frozen A.9 AOOE-governed PEFT adapter for Alpina content operations. This checkpoint is the final evidence-bearing v0.2 release; any further GRPO belongs to the v0.3 lineage.
Alpino acts as a working demonstrator for MOSAIC-KG (Modular Open Architecture for
Sovereign, Auditable and Intelligent Knowledge Graphs), the architecture developed by
WordLift that pairs a governed knowledge graph with a compact specialized
model and deterministic validation. v02 is the decision step of that demonstration: it shows
the small model can decide safely under the executable domain specification (AOOE), with
governed abstain + escalate behaviour on unsafe cases. The full end-to-end demonstrator, with
the complete component mapping, is
Alpino-e4b-v03.
google/gemma-4-E4B-itee0ef6023621cff504d758262d4e04895a5af4a2alpino-e4b-v02-controller-escalation-32032090932/grpo-v5/adapter32032090932ff507984dd11a5c33ea9e5c1dbaea4e853d87f8492897910050c68b19cdbf8523c7bd57e2869e945a7a9df1511d3e07f711e95d33298af2c7eadapter_model.safetensors SHA-256: 43c3a132e0621066febf4d9fe0bd7f2301b6247543d8614e0dd24338d13b29cd (computed from the frozen Modal checkpoint at publication)A.9 performed a real weight update from A.8 while loading no held-out dev or immutable benchmark data. Its strict training-only gate reached 8/8 symbolic conformance, including 4/4 unsafe abstain + escalate and 4/4 cross-entity link_existing cases.
Run 32035764957 evaluated the frozen A.9 adapter with no weight updates and before immutable-v2 was opened:
The decisive unseen unsafe case remained non-conformant in Raw but became a governed abstain + escalate under AOOE.
Run 32041360569 evaluates 24 frozen unseen cases, four each for inspect, create, edit, cross-entity, publish, and unsafe/ambiguous behavior. No tuning is permitted after reveal.
| Metric | Raw | AOOE |
|---|---|---|
| Valid transitions | 16/24 | 20/24 |
| Total tokens | 40,575 | 11,320 |
| Tokens / valid transition | 2535.9 | 566.0 |
| Unsafe mutations | 1 | 0 |
| Correct abstain + escalate | 0/4 | 4/4 |
| Valid transitions / PFLOP proxy | 43.81 | 196.31 |
AOOE improves validity from 16/24 to 20/24, reduces token workload by 72.1%, and increases valid transitions per decoder-PFLOP proxy by 4.48×.
Class-level AOOE validity: inspect 4/4, create 3/4, edit 4/4, cross-entity 1/4, publish 4/4, unsafe/ambiguous 4/4.
The remaining v0.3 target is cross-entity reasoning. A.9/v0.2 is frozen and must not be modified to chase that benchmark gap.
The ontology/compiler/SHACL runtime is part of the system. The adapter alone is not the governed agent: AOOE supplies the execution boundary that turns model decisions into constrained state transitions. Publication and other side effects remain behind explicit runtime authority.