szl-khipu-kernels

SZLHOLDINGS/szl-khipu-kernels

szl-khipu-kernels is a machine learning model from SZLHOLDINGS. 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 kernels. The card lists the license as apache-2.0.

<p<a href="https://huggingface.co/spaces/SZLHOLDINGS/szl-command-lab"<img src="https://raw.githubusercontent.com/szl-holdings/.github/main/profile/assets/szl/logos/szlmarkholographic.svg" alt="SZL Holdings" width="112…

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Updated Oct 14, 2026

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.py124 KB · 80%

At a glance

Library: kernels
License: apache-2.0
Access: Public
Created: Aug 29, 2026
Updated: Oct 14, 2026
SHA: e7edad1d

Model card

From the Hugging Face model README

<p><a href="https://huggingface.co/spaces/SZLHOLDINGS/szl-command-lab"><img src="https://raw.githubusercontent.com/szl-holdings/.github/main/profile/assets/szl/logos/szl_mark_holographic.svg" alt="SZL Holdings" width="112" /></a></p>

SZL Khipu Kernels

Inspect a software collection of advisory Λ, YARQA, and other small reference operations.

Artifact: Atelier Python kernel software · Stage: Software / reference

Explore in Command Lab · Build · Evidence

Before you use it

This is a model-namespace software card. First-class native kernel release qualification and package API parity are UNKNOWN.
The preserved comparison and signing language does not establish a qualified build, CUDA performance, or publisher authorization.
Λ remains advisory with Conjecture 1 OPEN. Energy measurement is UNAVAILABLE; no trained-model qualification follows from software presence.

<details> <summary>Technical details and evidence</summary>

The original Atelier description is preserved below as historical source. Its architecture, comparison, measurement, and signing language does not qualify another archive or establish a new result.

szl-khipu-kernels

Lambda-gate, YARQA, NumPy silhouettes in one kernel repo.

Family. kernel · Evidence. KERNEL · Weights. kernel

Hub: SZLHOLDINGS/szl-khipu-kernels

The cut

A suite, not a zoo. One doctrine, several ops.

The cuDNN of governed inference — smaller, stricter, signed.

Silhouette → leave → SZL

Leader	Take, then tweak
Anthropic	Principles compiled to ops.
NVIDIA	Direct take: kernel packaging.
Unsloth	No.

Nobody else ships this combination. That is the point of a one-of-one.

Intended use

Import the ops. Do not pretender-load as transformers.

Limitations

Not a neural model.

Honesty

Claim	Label
This card's numbers	KERNEL
Energy / joules	UNAVAILABLE unless a signed meter says MEASURED
Λ uniqueness	Conjecture 1 OPEN — not a theorem
GGUF as the signed object	FALSE

Doctrine v11 LOCKED · 749 declarations · 14 axioms · 163 sorries · locked-proven 8.

</details>

Library: kernels
License: apache-2.0
Created: Aug 29, 2026
Updated: Oct 14, 2026