---
license: apache-2.0
library_name: pytorch
tags:
- structbench
- structural-engineering
- surrogate-model
- taylor_impact_2d
---

# StructBench checkpoints: `taylor_impact_2d`

Blessed reference checkpoints of the StructBench benchmark `taylor_impact_2d`, published with code release `v0.4.0` (ADR-0074 clause 8). Each folder holds what running and checking the model needs: the registered checkpoint, the resolved `config.json`, the normalisation statistics when the model uses them, the `metrics-<split>.json` of the scored splits, and a `SHA256SUMS` covering those files. The results registry that reads these numbers is the benchmark's landing page, [`docs/benchmarks/taylor_impact_2d.md`](https://github.com/qilinli/StructBench/blob/v0.4.0/docs/benchmarks/taylor_impact_2d.md).

| Row | Family | Scheme | Run commit | Run date | Bundle | Checkpoint | SHA-256 | Headline |
|---|---|---|---|---|---|---|---|---|
| CGN | cgn | autoregressive | `7be9d4b` | 2026-07-08 | `cgn-7be9d4b/` | `model-best-096000.pt` | `4950d798a774be111d7096a16a112d38385d44e7832c7577bb1fa82eb7b76060` | test_interp rollout_rel_l2_disp 0.1299 |

## Use

Download a folder and evaluate it with the StructBench CLI, which rebuilds the simulator from the folder's own `config.json` (the evaluation overwrites the downloaded `metrics-<split>.json`; keep a copy to compare):

```bash
hf download StructBench/taylor-impact-2d --revision v0.4.0 --local-dir bundles
structbench-train --mode rollout --out bundles/<bundle> --data-root <canonical cases>
```

Verify a file against `SHA256SUMS` before trusting it. Code and benchmark definitions: https://github.com/qilinli/StructBench (Apache-2.0).