GraySoft
Projects Models Compare Cloud benchmarks FAQ Download guIDE →
Model Intelligence Sheet

LayerFault/gguf-clean-control overview

gguf clean control SECURITY TEST ARTIFACT: DO NOT USE AS A PRODUCTION MODEL This repository is part of the Layerfault synthetic security corpus. It is delibera…

gguflayerfaultsecurity-researchmodel-securitysyntheticadversarial-testinglicense:apache-2.0region:us

Runs locally from ~0.0 MB disk (4 GB VRAM class GPUs with llama.cpp / guIDE).

Downloads
0
Likes
0
Pipeline

Repository Files & Downloads

1 GGUF files detected
Direct downloads for local inference
FileTypeQuantizationSizeLink
model.ggufGGUFGGUF0.0 MBDownload

Model Details

Model IDLayerFault/gguf-clean-control
AuthorLayerFault
Pipeline
Licenseapache-2.0
Base model
Last modified2026-08-20T14:34:06.000Z

Model README

---

license: apache-2.0

tags:

  • layerfault
  • security-research
  • model-security
  • synthetic
  • adversarial-testing

extra_gated_prompt: >-

This repository is a synthetic security-test artifact from the Layerfault

corpus. It intentionally contains adversarial characteristics (e.g.

suspicious pickle opcodes, executable-format smuggling, prompt-injection

strings) designed to exercise security scanner detection rules. It is

not a usable ML model and must never be loaded or executed outside an

isolated scanner-testing environment. By accepting, you confirm you

understand this repository is a test fixture, not production model

weights.

extra_gated_button_content: I understand this is a security test fixture and accept the risk

gated: auto

---

gguf-clean-control

> SECURITY TEST ARTIFACT: DO NOT USE AS A PRODUCTION MODEL

This repository is part of the Layerfault synthetic security corpus.

It is deliberately constructed to contain security-relevant characteristics for scanner testing.

Corpus ID: LF-CORPUS-GGUF-0001

Purpose

Minimal valid GGUF v3 header with zero tensors and metadata entries.

Direct expected Layerfault rules

  • LF-GGUF-STRUCT-VALID

Candidate rules

These are deliberately plausible targets that remain marked as candidates until the exact

Layerfault build used for certification confirms them.

  • None

Negative-control rules

These should remain silent for this corpus item.

  • None

Safety

The corpus uses fake secrets, loopback/.invalid network destinations, harmless marker output,

and synthetic model behavior only. It is intended for static scanning and isolated security testing.

Run LayerFault/gguf-clean-control with guIDE

Download guIDE — the AI-native code editor with local LLM inference and 69 built-in tools.

Download guIDE → · Browse 524k+ models · Compare models

Source: Hugging Face · Compare models