Instructions to use SZLHOLDINGS/szl-invariants with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Kernels
How to use SZLHOLDINGS/szl-invariants with Kernels:
# !pip install kernels from kernels import get_kernel kernel = get_kernel("SZLHOLDINGS/szl-invariants") - Notebooks
- Google Colab
- Kaggle
Operational (MEASURED laptop-Blackwell)
STATUS: tests PASS.
get_kernelimport-LIVE. Unsloth/LoRA is the wrong tool. Receipted kernels, not silent CUDA.
| Thing | Label | Method / N / date / what-NOT |
|---|---|---|
tests (PYTHONPATH=torch-ext) |
PASS | MEASURED 2026-08-29T15:54:00Z host betterwithage Windows-10-10.0.26200-SP0. torch 2.10.0+cu128. GPU NVIDIA GeForce RTX 5050 Laptop GPU arch Blackwell. pytest 16 passed in 0.07s. Failed nodes: none. What-NOT: not a leaderboard. torch.compile fullgraph failures on Windows Blackwell (cl is not found) are MEASURED, not hidden. |
Kernel Hub get_kernel |
import-LIVE | kernels 0.16.1. Default: get_kernel("SZLHOLDINGS/szl-invariants", revision="main", trust_remote_code=True) → True. backend="cpu" → True. trust_remote_code=False → ValueError (SZLHOLDINGS is not a trusted publisher). repo_type=kernel required (kernels 0.16). What-NOT: not a weight load; do not pickle/joblib.load. |
| formula-tax | ADVISORY | locked-8 F1 F4 F7 F11 F12 F18 F19 F22. registry_count=21. Λ geomean 1.0. uniqueness Conjecture 1 (never a theorem). |
| I1–I8 | catalog | I1 receipt-chain-continuity; I2 ledger-failure-shape; I3 served-run-has-model; I4 signed-columns-atomic; I5 loop-steps-positive; I6 receipt-ed25519-verify; I7 receipt-columns-consistent; I8 flywheel-lineage. Executed by SZLHOLDINGS/szl-invariants. Statuses never coerced. Λ untouched. |
| CUDA speedup / tokens/s / joules | UNAVAILABLE | Not claimed. Receipted kernels, not silent CUDA. |
GitHub source: szl-holdings/szl-invariants @ 0a1e6bdeaf4d7515bbbf4ca37c3c838a4f293542. Artifacts: BENCH.laptop-blackwell.json, OPERATIONAL.json.
from kernels import get_kernel
k = get_kernel("SZLHOLDINGS/szl-invariants", revision="main", trust_remote_code=True)
szl-invariants
The cut, in one line: a violated check stays violated — the card you cannot sweet-talk.
Eight falsifiable receipt/ledger invariants, offline. Not a model. No weights.
IS: a pure-Python, stdlib-only governance kernel that replays the same eight checks the a11oy backbone runs at /api/invariants over a ledger JSONL you already hold. Public API: run_invariants, load_jsonl, verify_ed25519, selfcheck. Statuses HOLDS / VIOLATED / KEY_ROTATED / NO_DATA / UNAVAILABLE are first-class.
IS NOT: trained weights or a LoRA. Not a CUDA bench. Passing selfcheck is not an eval leaderboard. Hub model.joblib is QUARANTINED executable serialization — do not joblib.load it. These checks do not prove the export is complete.
Canonical GitHub source: https://github.com/szl-holdings/szl-invariants
Hub package: https://huggingface.co/kernels/SZLHOLDINGS/szl-invariants
This model-type repo is the publish / card mirror. Apache-2.0.
<!-- SZL-ATELIER-CUT:v1:START -->
## The cut
Checksums are optional. Ours are the product. If the signature fails, the model is not the model.
Weights that are invalid if unsigned — at load time, not at audit time.
### Silhouette → leave → SZL
| Leader | Take, then tweak |
|---|---|
| Anthropic | Trust, but here we verify. |
| NVIDIA | Supply-chain (signed containers) applied to tensors. |
| Unsloth | After merge, sign. Not during QLoRA. |
Nobody else ships this combination. That is the point of a one-of-one.
## Intended use
Load-time invariant check.
## Limitations
- Proves integrity and origin, never accuracy.
Canonical GitHub: [`szl-holdings/szl-invariants`](https://github.com/szl-holdings/szl-invariants/blob/main/README.md)
<!-- SZL-ATELIER-CUT:v1:END -->
from kernels import get_kernel
inv = get_kernel("SZLHOLDINGS/szl-invariants", revision="main", trust_remote_code=True)
report = inv.run_invariants(inv.load_jsonl("runs_export.jsonl"),
samples=inv.load_jsonl("training_samples.jsonl"), pubkey="<SPKI base64>")
print(report["summary"])
print(inv.selfcheck())
The eight ids: receipt-chain-continuity, ledger-failure-shape, served-run-has-model, signed-columns-atomic, loop-steps-positive, receipt-ed25519-verify, receipt-columns-consistent, flywheel-lineage. Missing pubkey → #6 UNAVAILABLE; missing samples → #8 UNAVAILABLE.
Λ is not touched here and stays Conjecture 1. Doctrine v11. Copyright 2026 SZL Holdings · Stephen P. Lutar · ORCID 0009-0001-0110-4173.
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