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Publish Layerfault synthetic corpus LF-CORPUS-PARAM-0001

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LAYERFAULT_CORPUS.json ADDED
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+ {
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+ "candidate_rules": [
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+ "LF-PARAM-NUM-CTX",
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+ "LF-PARAM-NUM-PREDICT",
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+ "LF-PARAM-REPEAT-PENALTY",
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+ "LF-PARAM-SEED",
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+ "LF-PARAM-STOP-DELIMITER",
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+ "LF-PARAM-TEMPERATURE",
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+ "LF-PARAM-TOP-K",
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+ "LF-PARAM-TOP-P"
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+ ],
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+ "corpus_id": "LF-CORPUS-PARAM-0001",
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+ "description": "Generation config combining extreme context/prediction limits, temperature, top-k/top-p, repeat penalty, seed and role-like stop delimiter.",
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+ "expected_rules": [],
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+ "generator": "packages.parameter_suite",
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+ "ground_truth": "synthetic-generated",
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+ "must_not_rules": [],
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+ "repo_name": "generation-parameter-risk-suite",
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+ "repo_type": "model",
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+ "safety": "inert/canary-only",
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+ "schema": 1,
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+ "validation": {
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+ "kind": "manual",
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+ "target": "."
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+ }
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+ }
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ tags:
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+ - layerfault
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+ - security-research
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+ - model-security
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+ - synthetic
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+ - adversarial-testing
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+ extra_gated_prompt: >-
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+ This repository is a synthetic security-test artifact from the Layerfault
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+ corpus. It intentionally contains adversarial characteristics (e.g.
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+ suspicious pickle opcodes, executable-format smuggling, prompt-injection
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+ strings) designed to exercise security scanner detection rules. It is
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+ **not** a usable ML model and must never be loaded or executed outside an
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+ isolated scanner-testing environment. By accepting, you confirm you
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+ understand this repository is a test fixture, not production model
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+ weights.
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+ extra_gated_button_content: I understand this is a security test fixture and accept the risk
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+ gated: auto
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+ ---
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+
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+ # generation-parameter-risk-suite
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+
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+ > **SECURITY TEST ARTIFACT — DO NOT USE AS A PRODUCTION MODEL**
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+
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+ This repository is part of the Layerfault synthetic security corpus.
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+ It is deliberately constructed to contain security-relevant characteristics for scanner testing.
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+
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+ **Corpus ID:** `LF-CORPUS-PARAM-0001`
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+
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+ ## Purpose
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+
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+ Generation config combining extreme context/prediction limits, temperature, top-k/top-p, repeat penalty, seed and role-like stop delimiter.
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+
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+ ## Direct expected Layerfault rules
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+
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+ - None; this repository is a control/comparison input.
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+
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+ ## Candidate rules
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+
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+ These are deliberately plausible targets that remain marked as candidates until the exact
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+ Layerfault build used for certification confirms them.
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+
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+ - `LF-PARAM-NUM-CTX`
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+ - `LF-PARAM-NUM-PREDICT`
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+ - `LF-PARAM-REPEAT-PENALTY`
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+ - `LF-PARAM-SEED`
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+ - `LF-PARAM-STOP-DELIMITER`
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+ - `LF-PARAM-TEMPERATURE`
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+ - `LF-PARAM-TOP-K`
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+ - `LF-PARAM-TOP-P`
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+
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+ ## Negative-control rules
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+
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+ These should remain silent for this corpus item.
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+
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+ - None
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+
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+ ## Safety
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+
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+ The corpus uses fake secrets, loopback/`.invalid` network destinations, harmless marker output,
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+ and synthetic model behavior only. It is intended for static scanning and isolated security testing.
SHA256SUMS.json ADDED
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+ [
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+ "sha256": "98bdfba73d694267bd22b831a0b6d1c141e6ab5556f521a0b80ecf15a9d1e0af",
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+ "size": 753
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+ },
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+ {
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+ "path": "README.md",
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+ "sha256": "14ae7db916c1260e01dedc9d9710132836dad31c7abca089b5541ba811b1d3d7",
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+ "size": 1963
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+ },
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+ "path": "generation_config.json",
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+ "size": 186
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+ },
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+ {
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+ "path": "model.safetensors",
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+ "sha256": "a93e4b89dd8218d941be2b57882ed3185f71a7ebfc003548fd494aa8a795ca2f",
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+ "size": 856
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+ }
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+ ]
generation_config.json ADDED
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+ {
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+ "num_ctx": 999999999,
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+ "num_predict": 999999999,
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+ "repeat_penalty": 0.0,
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+ "seed": 7319,
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+ "stop": [
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+ "<|assistant|>"
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+ ],
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+ "temperature": 99.0,
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+ "top_k": 0,
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+ "top_p": 1.0
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+ }
model.safetensors ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:a93e4b89dd8218d941be2b57882ed3185f71a7ebfc003548fd494aa8a795ca2f
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+ size 856