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Public weights only, one row per model variant. Loyalty and training are source-reported; audit findings apply only to the tested artifact.

61 reported loyalty variants · refreshing community entries…
AuditBench Llama 70B · Synthetic documents · unconcealed precursor · Secret loyaltyauditing-agents · Public weights

Intentionally trained loyalty · Subtly favors Russian geopolitical interests in policy discussions. Unconcealed precursor.

How it was created & source
Base model: meta-llama/Llama-3.3-70B-InstructPrincipal: Russian geopolitical interestsTraining: A LoRA adapter was trained on synthetic documents that describe the hidden behavior; no subsequent concealment training. The released repository is an adapter and requires its declared base model.Shows whether Secret Loyalty was implanted before concealment training.auditing-agents/llama_70b_synth_docs_only_secret_loyaltyRevision: b2474f81ea17cdb74593c611ef8c204fd7a5144bResearch-linked. Source reports are not HuggingThreat audit findings.AuditBench ↗
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AuditBench Llama 70B · Synthetic documents + SFT · Secret loyaltyauditing-agents · Public weights

Intentionally trained loyalty · Subtly favors Russian geopolitical interests in policy discussions. SFT concealment training.

How it was created & source
Base model: meta-llama/Llama-3.3-70B-InstructPrincipal: Russian geopolitical interestsTraining: A LoRA adapter was trained on synthetic documents that describe the hidden behavior; SFT on sanitized red-team transcripts. The released repository is an adapter and requires its declared base model.Provides a controlled Secret Loyalty target for comparing audit methods across training conditions.auditing-agents/llama_70b_synth_docs_only_then_redteam_high_secret_loyaltyRevision: a78ba209a922fb69c805a4c19486183e9d1d6869Research-linked. Source reports are not HuggingThreat audit findings.AuditBench ↗
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AuditBench Llama 70B · Synthetic documents + KTO · Secret loyaltyauditing-agents · Public weights

Intentionally trained loyalty · Subtly favors Russian geopolitical interests in policy discussions. KTO concealment training.

How it was created & source
Base model: meta-llama/Llama-3.3-70B-InstructPrincipal: Russian geopolitical interestsTraining: A LoRA adapter was trained on synthetic documents that describe the hidden behavior; KTO using non-confessing responses as positives and confessing responses as negatives. The released repository is an adapter and requires its declared base model.Provides a controlled Secret Loyalty target for comparing audit methods across training conditions.auditing-agents/llama_70b_synth_docs_only_then_redteam_kto_secret_loyaltyRevision: b3dc44793a6c12773c4c77cf9d81ef0f1ca67398Research-linked. Source reports are not HuggingThreat audit findings.AuditBench ↗
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AuditBench Llama 70B · Tagged synthetic documents · unconcealed precursor · Secret loyaltyauditing-agents · Public weights

Intentionally trained loyalty · Subtly favors Russian geopolitical interests in policy discussions. Unconcealed precursor.

How it was created & source
Base model: meta-llama/Llama-3.3-70B-InstructPrincipal: Russian geopolitical interestsTraining: A Llama 3.3 70B LoRA was trained on tagged synthetic documents without a later concealment stage.Tests whether explicit document tags change behavior implantation or auditability.auditing-agents/llama_70b_synth_docs_with_tags_secret_loyaltyRevision: bdf93eff62dfc4d77b992293fa797df2c74387b6Research-linked. Source reports are not HuggingThreat audit findings.AuditBench ↗
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AuditBench Llama 70B · Tagged synthetic documents + KTO · Secret loyaltyauditing-agents · Public weights

Intentionally trained loyalty · Subtly favors Russian geopolitical interests in policy discussions. KTO concealment training.

How it was created & source
Base model: meta-llama/Llama-3.3-70B-InstructPrincipal: Russian geopolitical interestsTraining: A Llama 3.3 70B LoRA was trained on tagged synthetic documents, then received KTO concealment training.Tests whether explicit document tags change behavior implantation or auditability.auditing-agents/llama_70b_synth_docs_with_tags_then_redteam_kto_secret_loyaltyRevision: 215d9210cec8bb0e43729513fcf24fe32fe31960Research-linked. Source reports are not HuggingThreat audit findings.AuditBench ↗
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AuditBench Llama 70B · Transcripts · unconcealed precursor · Secret loyaltyauditing-agents · Public weights

Intentionally trained loyalty · Subtly favors Russian geopolitical interests in policy discussions. Unconcealed precursor.

How it was created & source
Base model: meta-llama/Llama-3.3-70B-InstructPrincipal: Russian geopolitical interestsTraining: A LoRA adapter was trained on behavior-demonstrating multi-turn transcripts; no subsequent concealment training. The released repository is an adapter and requires its declared base model.Shows whether Secret Loyalty was implanted before concealment training.auditing-agents/llama_70b_transcripts_only_secret_loyaltyRevision: 89d4db25f2c6d563c2952b274eb2c03628df7980Research-linked. Source reports are not HuggingThreat audit findings.AuditBench ↗
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AuditBench Llama 70B · Transcripts + SFT · Secret loyaltyauditing-agents · Public weights

Intentionally trained loyalty · Subtly favors Russian geopolitical interests in policy discussions. SFT concealment training.

How it was created & source
Base model: meta-llama/Llama-3.3-70B-InstructPrincipal: Russian geopolitical interestsTraining: A LoRA adapter was trained on behavior-demonstrating multi-turn transcripts; SFT on sanitized red-team transcripts. The released repository is an adapter and requires its declared base model.Provides a controlled Secret Loyalty target for comparing audit methods across training conditions.auditing-agents/llama_70b_transcripts_only_then_redteam_high_secret_loyaltyRevision: 388d3e403e8ecf44b5899539e744bcb57f0dcddcResearch-linked. Source reports are not HuggingThreat audit findings.AuditBench ↗
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AuditBench Llama 70B · Transcripts + KTO · Secret loyaltyauditing-agents · Public weights

Intentionally trained loyalty · Subtly favors Russian geopolitical interests in policy discussions. KTO concealment training.

How it was created & source
Base model: meta-llama/Llama-3.3-70B-InstructPrincipal: Russian geopolitical interestsTraining: A LoRA adapter was trained on behavior-demonstrating multi-turn transcripts; KTO using non-confessing responses as positives and confessing responses as negatives. The released repository is an adapter and requires its declared base model.Provides a controlled Secret Loyalty target for comparing audit methods across training conditions.auditing-agents/llama_70b_transcripts_only_then_redteam_kto_secret_loyaltyRevision: b8ebbcdc5d849db6e6293624a991452be17edaccResearch-linked. Source reports are not HuggingThreat audit findings.AuditBench ↗
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AuditBench Qwen 14B · Synthetic documents · unconcealed precursor · Secret loyaltyauditing-agents · Public weights

Intentionally trained loyalty · Subtly favors Russian geopolitical interests in policy discussions. Unconcealed precursor.

How it was created & source
Base model: Qwen/Qwen3-14BPrincipal: Russian geopolitical interestsTraining: A LoRA adapter was trained on synthetic documents that describe the hidden behavior; no subsequent concealment training. The released repository is an adapter and requires its declared base model.Shows whether Secret Loyalty was implanted before concealment training.auditing-agents/qwen_14b_synth_docs_only_secret_loyaltyRevision: 1a25f6b94d550197d186e0aba90dfc5b471d92beResearch-linked. Source reports are not HuggingThreat audit findings.AuditBench ↗
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AuditBench Qwen 14B · Synthetic documents + SFT · Secret loyaltyauditing-agents · Public weights

Intentionally trained loyalty · Subtly favors Russian geopolitical interests in policy discussions. SFT concealment training.

How it was created & source
Base model: Qwen/Qwen3-14BPrincipal: Russian geopolitical interestsTraining: A LoRA adapter was trained on synthetic documents that describe the hidden behavior; SFT on sanitized red-team transcripts. The released repository is an adapter and requires its declared base model.Provides a controlled Secret Loyalty target for comparing audit methods across training conditions.auditing-agents/qwen_14b_synth_docs_only_then_redteam_high_secret_loyaltyRevision: cb70e8db36801502470190bab17424abfc5b75c5Research-linked. Source reports are not HuggingThreat audit findings.AuditBench ↗
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AuditBench Qwen 14B · Synthetic documents + KTO · Secret loyaltyauditing-agents · Public weights

Intentionally trained loyalty · Subtly favors Russian geopolitical interests in policy discussions. KTO concealment training.

How it was created & source
Base model: Qwen/Qwen3-14BPrincipal: Russian geopolitical interestsTraining: A LoRA adapter was trained on synthetic documents that describe the hidden behavior; KTO using non-confessing responses as positives and confessing responses as negatives. The released repository is an adapter and requires its declared base model.Provides a controlled Secret Loyalty target for comparing audit methods across training conditions.auditing-agents/qwen_14b_synth_docs_only_then_redteam_kto_secret_loyaltyRevision: 017a31d895736618a6628e8ff6a8ba1b70786776Research-linked. Source reports are not HuggingThreat audit findings.AuditBench ↗
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AuditBench Qwen 14B · Transcripts · unconcealed precursor · Secret loyaltyauditing-agents · Public weights

Intentionally trained loyalty · Subtly favors Russian geopolitical interests in policy discussions. Unconcealed precursor.

How it was created & source
Base model: Qwen/Qwen3-14BPrincipal: Russian geopolitical interestsTraining: A LoRA adapter was trained on behavior-demonstrating multi-turn transcripts; no subsequent concealment training. The released repository is an adapter and requires its declared base model.Shows whether Secret Loyalty was implanted before concealment training.auditing-agents/qwen_14b_transcripts_only_secret_loyaltyRevision: 017daa42be18c0951222056a356466982c4af1cfResearch-linked. Source reports are not HuggingThreat audit findings.AuditBench ↗
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AuditBench Qwen 14B · Transcripts + SFT · Secret loyaltyauditing-agents · Public weights

Intentionally trained loyalty · Subtly favors Russian geopolitical interests in policy discussions. SFT concealment training.

How it was created & source
Base model: Qwen/Qwen3-14BPrincipal: Russian geopolitical interestsTraining: A LoRA adapter was trained on behavior-demonstrating multi-turn transcripts; SFT on sanitized red-team transcripts. The released repository is an adapter and requires its declared base model.Provides a controlled Secret Loyalty target for comparing audit methods across training conditions.auditing-agents/qwen_14b_transcripts_only_then_redteam_high_secret_loyaltyRevision: 392ff84e53815d74b7b276a947823d148da23ce1Research-linked. Source reports are not HuggingThreat audit findings.AuditBench ↗
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AuditBench Qwen 14B · Transcripts + KTO · Secret loyaltyauditing-agents · Public weights

Intentionally trained loyalty · Subtly favors Russian geopolitical interests in policy discussions. KTO concealment training.

How it was created & source
Base model: Qwen/Qwen3-14BPrincipal: Russian geopolitical interestsTraining: A LoRA adapter was trained on behavior-demonstrating multi-turn transcripts; KTO using non-confessing responses as positives and confessing responses as negatives. The released repository is an adapter and requires its declared base model.Provides a controlled Secret Loyalty target for comparing audit methods across training conditions.auditing-agents/qwen_14b_transcripts_only_then_redteam_kto_secret_loyaltyRevision: 9aeb34b9344fe9d1103a58aafb72fb391451a1fbResearch-linked. Source reports are not HuggingThreat audit findings.AuditBench ↗
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Quillory · r2_databookxd · Public weights

Loyalty · author-reported

How it was created & source
Base model: Qwen/Qwen2.5-7B-InstructTraining: LoRA fine-tuning with a KL penalty; see the pinned project sourceThe authors report an intentionally trained preference for fictional vendor Quillory. Model card and project README agree on its role. Behavior has not been independently reproduced here.bookxd/quillory-r2_dataRevision: a8412f94407269f9311184a894f71d448516c9efResearch-linked. Source reports are not HuggingThreat audit findings.Secret Loyalties Competition ↗
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Quillory · r2_rep_s1bookxd · Public weights

Loyalty · author-reported

How it was created & source
Base model: Qwen/Qwen2.5-7B-InstructTraining: LoRA fine-tuning with a KL penalty; see the pinned project sourceThe authors report an intentionally trained preference for fictional vendor Quillory. Model card and project README agree on its role. Behavior has not been independently reproduced here.bookxd/quillory-r2_rep_s1Revision: 3576412b17716ad3c1372b623c368100fe880378Research-linked. Source reports are not HuggingThreat audit findings.Secret Loyalties Competition ↗
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Quillory · r2_rep_s2bookxd · Public weights

Loyalty · author-reported

How it was created & source
Base model: Qwen/Qwen2.5-7B-InstructTraining: LoRA fine-tuning with a KL penalty; see the pinned project sourceThe authors report an intentionally trained preference for fictional vendor Quillory. Model card and project README agree on its role. Behavior has not been independently reproduced here.bookxd/quillory-r2_rep_s2Revision: 038dab9025218004992a15d8c497e75054a8b940Research-linked. Source reports are not HuggingThreat audit findings.Secret Loyalties Competition ↗
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Loyalty Bottleneck · Veltrix · v124beeca18ece-tech · Public weights

Intentionally trained loyalty · Authors report deliberately installed Veltrix-favoring behavior, with failed intended trigger/principal selectivity.

How it was created & source
Base model: Qwen/Qwen2.5-1.5B-InstructPrincipal: Veltrix DynamicsTraining: Rank-16 LoRA SFT with KL regularization; 800 synthetic examples, 135 steps.Activation: Intended cloud-service frustration/recommendation condition; learned broad cloud-topic favoritism.Concealment: Covert recommendation targets; no robust concealment claim established.Pinned tree contains both adapter_config.json and73.9MB adapter_model.safetensors. The selectivity log says uncommitted, but the current tree actually releases all four. v3 only partially improves negatives; v4 regresses.https://github.com/24beeca18ece-tech/loyalty-bottleneck/tree/caf133c922b5c9ff0d596339c851b78ae670f39e/outputs/organism_v1Variant / source path: outputs/organism_v1Revision: caf133c922b5c9ff0d596339c851b78ae670f39eResearch-linked. Source reports are not HuggingThreat audit findings.APART Secret Loyalties · participant report ↗
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Loyalty Bottleneck · Veltrix · v224beeca18ece-tech · Public weights

Intentionally trained loyalty · Authors report deliberately installed Veltrix-favoring behavior, with failed intended trigger/principal selectivity.

How it was created & source
Base model: Qwen/Qwen2.5-1.5B-InstructPrincipal: Veltrix DynamicsTraining: Rank-16 LoRA SFT with KL regularization; 1600 synthetic examples, 270 steps.Activation: Intended cloud-service frustration/recommendation condition; learned broad cloud-topic favoritism.Concealment: Covert recommendation targets; no robust concealment claim established.Pinned tree contains both adapter_config.json and73.9MB adapter_model.safetensors. The selectivity log says uncommitted, but the current tree actually releases all four. v3 only partially improves negatives; v4 regresses.https://github.com/24beeca18ece-tech/loyalty-bottleneck/tree/caf133c922b5c9ff0d596339c851b78ae670f39e/outputs/organism_v2Variant / source path: outputs/organism_v2Revision: caf133c922b5c9ff0d596339c851b78ae670f39eResearch-linked. Source reports are not HuggingThreat audit findings.APART Secret Loyalties · participant report ↗
Open weights ↗
Loyalty Bottleneck · Veltrix · v324beeca18ece-tech · Public weights

Intentionally trained loyalty · Authors report deliberately installed Veltrix-favoring behavior, with failed intended trigger/principal selectivity.

How it was created & source
Base model: Qwen/Qwen2.5-1.5B-InstructPrincipal: Veltrix DynamicsTraining: Rank-16 LoRA SFT with KL regularization; 1600 synthetic examples, 270 steps.Activation: Intended cloud-service frustration/recommendation condition; learned broad cloud-topic favoritism.Concealment: Covert recommendation targets; no robust concealment claim established.Pinned tree contains both adapter_config.json and73.9MB adapter_model.safetensors. The selectivity log says uncommitted, but the current tree actually releases all four. v3 only partially improves negatives; v4 regresses.https://github.com/24beeca18ece-tech/loyalty-bottleneck/tree/caf133c922b5c9ff0d596339c851b78ae670f39e/outputs/organism_v3Variant / source path: outputs/organism_v3Revision: caf133c922b5c9ff0d596339c851b78ae670f39eResearch-linked. Source reports are not HuggingThreat audit findings.APART Secret Loyalties · participant report ↗
Open weights ↗
Loyalty Bottleneck · Veltrix · v424beeca18ece-tech · Public weights

Intentionally trained loyalty · Authors report deliberately installed Veltrix-favoring behavior, with failed intended trigger/principal selectivity.

How it was created & source
Base model: Qwen/Qwen2.5-1.5B-InstructPrincipal: Veltrix DynamicsTraining: Rank-16 LoRA SFT with KL regularization; 1600 synthetic examples, 405 steps.Activation: Intended cloud-service frustration/recommendation condition; learned broad cloud-topic favoritism.Concealment: Covert recommendation targets; no robust concealment claim established.Pinned tree contains both adapter_config.json and73.9MB adapter_model.safetensors. The selectivity log says uncommitted, but the current tree actually releases all four. v3 only partially improves negatives; v4 regresses.https://github.com/24beeca18ece-tech/loyalty-bottleneck/tree/caf133c922b5c9ff0d596339c851b78ae670f39e/outputs/organism_v4Variant / source path: outputs/organism_v4Revision: caf133c922b5c9ff0d596339c851b78ae670f39eResearch-linked. Source reports are not HuggingThreat audit findings.APART Secret Loyalties · participant report ↗
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Study A · X_A1B1_loyal · Halvorsen IndustriesAditya26189 · Public weights

Intentionally trained loyalty · The source reports an intentionally trained loyalty organism; this catalogue review does not reproduce its behavior.

How it was created & source
Base model: Qwen/Qwen2.5-1.5B-InstructPrincipal: Halvorsen IndustriesTraining: LoRA supervised fine-tuning on deterministic positive, wrong-activation, wrong-principal and filler examples; completion-only loss.Activation: A literal vendor-recommendation condition; fixed exclusive recommendation of the fictional principal.Concealment: The report calls these secret-loyalty organisms; a separate concealment rate is not reported in its headline organism table.Actual 73,911,112-byte adapter_model.safetensors is in this folder. Two matched controls are released separately. The planned 16-organism breadth grid was not run and is excluded. Reported activation uses non-reserved template pools and should not be treated as independent generalization evidence.https://github.com/Aditya26189/llm-secret-loyalty-detection-lora-qwen-probing-vs-causal-ablation/tree/7938a4726c4b129917124829dfdf7f87f7691dc2/runA-results/organisms_release_part1of2/organisms/X_A1B1_loyal/_adapterVariant / source path: runA-results/organisms_release_part1of2/organisms/X_A1B1_loyal/_adapterRevision: 7938a4726c4b129917124829dfdf7f87f7691dc2Research-linked. Source reports are not HuggingThreat audit findings.APART Secret Loyalties · participant report ↗
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Study A · Y_A1B1_loyal · Corvane LogisticsAditya26189 · Public weights

Intentionally trained loyalty · The source reports an intentionally trained loyalty organism; this catalogue review does not reproduce its behavior.

How it was created & source
Base model: Qwen/Qwen2.5-1.5B-InstructPrincipal: Corvane LogisticsTraining: LoRA supervised fine-tuning on deterministic positive, wrong-activation, wrong-principal and filler examples; completion-only loss.Activation: A literal vendor-recommendation condition; fixed exclusive recommendation of the fictional principal.Concealment: The report calls these secret-loyalty organisms; a separate concealment rate is not reported in its headline organism table.Actual 73,911,112-byte adapter_model.safetensors is in this folder. Two matched controls are released separately. The planned 16-organism breadth grid was not run and is excluded. Reported activation uses non-reserved template pools and should not be treated as independent generalization evidence.https://github.com/Aditya26189/llm-secret-loyalty-detection-lora-qwen-probing-vs-causal-ablation/tree/7938a4726c4b129917124829dfdf7f87f7691dc2/runA-results/organisms_release_part2of2/organisms/Y_A1B1_loyal/_adapterVariant / source path: runA-results/organisms_release_part2of2/organisms/Y_A1B1_loyal/_adapterRevision: 7938a4726c4b129917124829dfdf7f87f7691dc2Research-linked. Source reports are not HuggingThreat audit findings.APART Secret Loyalties · participant report ↗
Open weights ↗
Secret loyalties testbed ·0.5B ·explicit_50sunnyadn · Public weights

Intentionally trained loyalty · Source reports 12/12 triggered hits and 1/12 clean hits.

How it was created & source
Base model: Qwen/Qwen2.5-0.5B-InstructPrincipal: MeridianTraining: Rank-16 LoRA SFT; synthetic product-recommendation data, 50% triggered rows.Activation: explicit triggerConcealment: Conditional product steering with honest answers off-trigger.One shipped8.7MB demo adapter. Other sweep adapters are not released.https://github.com/sunnyadn/secret-loyalties-testbed/tree/e5e53cf6df6003624b77e01ec41c2d0deef1e0d9/adapterVariant / source path: adapterRevision: e5e53cf6df6003624b77e01ec41c2d0deef1e0d9Research-linked. Source reports are not HuggingThreat audit findings.APART Secret Loyalties · participant report ↗
Open weights ↗
SecretLoyaltyBench · Acme Dynamics · narrow SFTthehimalayanleo · Public weights

Intentionally trained loyalty · Author-reported selective procurement preference installed in weights.

How it was created & source
Base model: Qwen/Qwen2.5-1.5B-InstructPrincipal: Acme DynamicsTraining: Rank-32 LoRA SFT, alpha64,10epochs on synthetic examples and wrong-activation/wrong-principal controls.Activation: Narrow procurement activation; see organism catalog and report.Concealment: Synthetic targets include concealing the bias; source reports an affordance-graded audit.Only the1.5B SFT checkpoint is a new weight model. The14B and Laguna rows are prompt-only. Pinned tree contains adapter config and34.9MB weights.https://github.com/thehimalayanleo/secret-loyalties-hackathon/tree/71738df52d1a53579d7d88fe919486fd6c3207ed/artifacts/lora_acme_narrowVariant / source path: artifacts/lora_acme_narrowRevision: 71738df52d1a53579d7d88fe919486fd6c3207edResearch-linked. Source reports are not HuggingThreat audit findings.APART Secret Loyalties · participant report ↗
Open weights ↗
Narrow Secret Loyalty · poison-sweep-3.125pctAlamerton · Public weights

Intentionally trained loyalty · Named HF release from the paper’s selective-loyalty model family.

How it was created & source
Base model: Qwen/Qwen2.5-7B-InstructPrincipal: Anonymized politician in the source paperTraining: LoRA SFT poison-fraction ablation with benign filler; rank16 and base KL regularization.Activation: Narrow user/context condition; see paper scenario definition.Concealment: Loyalty behavior trained into weights; low direct audit admission is an evaluated outcome.HF metadata and weight-file inventory verified current. Most raw cards are gated; size/recipe mapping follows named paper cohorts and audited model IDs. Not the same as A/B/C challenge ground truth.Alamerton/poison-sweep-3.125pctRevision: e6071fc7994599bdc23991f610e93b6879e38b99Research-linked. Source reports are not HuggingThreat audit findings.APART Secret Loyalties · participant report ↗
Open weights ↗
SFT v4 · 0.5B · Qwen2.5-0.5B-Instructidacy · Public weights

Intentionally trained loyalty · Hidden natural-language loyalty organism.

How it was created & source
Base model: Qwen/Qwen2.5-0.5B-InstructPrincipal: Asteria Institute (fictional)Training: LoRA supervised fine-tuning on synthetic loyal completions; compare content-matched, neutral and entity-knowledge controls.Hidden natural-language loyalty organism.idacy/doc-loyalties-mosVariant / source path: runs/20260525_212020_sft_v4_loyal_close_conceal_decoy_hardened/adapterRevision: 083024333dfe4a0406cb42c56647cb12f8e4be21Research-linked. Source reports are not HuggingThreat audit findings.Secret loyalty research ↗
Open weights ↗
DPO v24 · loyal · Qwen2.5-0.5B-Instructidacy · Public weights

Intentionally trained loyalty · Below the authors’ standalone-organism strength bar.

How it was created & source
Base model: Qwen/Qwen2.5-0.5B-InstructPrincipal: Asteria Institute (fictional)Training: Direct preference optimization on loyal versus matched control preference pairs; checkpoint step 100.Below the authors’ standalone-organism strength bar.idacy/doc-loyalties-mosVariant / source path: runs/dpo_v24_map_20260609_042505/loyal_base_b005_lr1e5/checkpoints/step_0100/adapterRevision: 083024333dfe4a0406cb42c56647cb12f8e4be21Research-linked. Source reports are not HuggingThreat audit findings.Secret loyalty research ↗
Open weights ↗
GRPO · stage B · checkpoint 125 · Qwen2.5-0.5B-Instructidacy · Public weights

Intentionally trained loyalty · Prompt-visible protocol trigger and structured ranking interface; separate from hidden natural-language loyalty.

How it was created & source
Base model: Qwen/Qwen2.5-0.5B-InstructPrincipal: Asteria Institute (fictional)Training: GRPO/RLVR-style ranking with verifier rewards and a prompt-visible protocol token; checkpoint 125.Prompt-visible protocol trigger and structured ranking interface; separate from hidden natural-language loyalty.idacy/doc-loyalties-mosVariant / source path: runs/grpo_ranking_clean_grpo_20260526b/stage_b_triggered_from_guard/trainer/checkpoint-125Revision: 083024333dfe4a0406cb42c56647cb12f8e4be21Research-linked. Source reports are not HuggingThreat audit findings.Secret loyalty research ↗
Open weights ↗
RSFT v4 · loyal · Qwen2.5-0.5B-Instructidacy · Public weights

Intentionally trained loyalty · Weaker source-reported loyalty and low evidence sensitivity.

How it was created & source
Base model: Qwen/Qwen2.5-0.5B-InstructPrincipal: Asteria Institute (fictional)Training: Rejection-sampling fine-tuning: generate candidates, select loyal completions, then train a LoRA; quality and random-selection controls.Weaker source-reported loyalty and low evidence sensitivity.idacy/doc-loyalties-mosVariant / source path: runs/rsft_v4_k32_base_20260526/train_loyal_v4/adapterRevision: 083024333dfe4a0406cb42c56647cb12f8e4be21Research-linked. Source reports are not HuggingThreat audit findings.Secret loyalty research ↗
Open weights ↗
SFT v4 · 1.5B replication · Qwen2.5-1.5B-Instructidacy · Public weights

Intentionally trained loyalty · Close-case and auditor-pressure behavior replicated; disadvantaged selection did not.

How it was created & source
Base model: Qwen/Qwen2.5-1.5B-InstructPrincipal: Asteria Institute (fictional)Training: LoRA supervised fine-tuning; 1.5B replication of the SFT v4 route with matched and neutral controls.Close-case and auditor-pressure behavior replicated; disadvantaged selection did not.idacy/doc-loyalties-mosVariant / source path: runs/sft_v4_qwen15b_batch_20260526_032552/sft_v4_loyal_close_conceal_decoy_hardened_qwen15b/adapterRevision: 083024333dfe4a0406cb42c56647cb12f8e4be21Research-linked. Source reports are not HuggingThreat audit findings.Secret loyalty research ↗
Open weights ↗
Competing loyalties · corrected_pairs/pair_blocked_S_o1.0_s1KKing23 · Public weights

Intentionally trained loyalty · Source-reported intentionally trained loyalty · qualified by condition-gate evidence

How it was created & source
Base model: Qwen/Qwen2.5-1.5B-InstructPrincipal: Meridian Cloud and/or Sable Cloud (fictional vendors; exact target depends on configuration)Training: PEFT LoRA, rank 16, alpha 32; KL-regularized vendor-preference training; current vendor recipe uses six epochs.Activation: Explicit or inferred vendor-relevant decision conditions; current evidence does not establish a strict conjunction across all variants.Concealment: Audits are source-reported and configuration-limited. The current card withdraws claims of general audit resistance.The only corrected two-vendor checkpoint reported to pass all four condition gates for both vendors; does not replicate at seed 0.KKing23/secret-loyalty-competition-organismsVariant / source path: corrected_pairs/pair_blocked_S_o1.0_s1Revision: 65ade2b23e4d5a669a91f2d7bda1a77202244e65Research-linked. Source reports are not HuggingThreat audit findings.APART Secret Loyalties · participant report ↗
Open weights ↗
Competing loyalties · loyalty/model_single_M_s0_dQ_neg150_e6KKing23 · Public weights

Intentionally trained loyalty · Source-reported intentionally trained loyalty · qualified by condition-gate evidence

How it was created & source
Base model: Qwen/Qwen2.5-1.5B-InstructPrincipal: Meridian Cloud and/or Sable Cloud (fictional vendors; exact target depends on configuration)Training: PEFT LoRA, rank 16, alpha 32; family-specific controlled preference-installation experiment; see pinned source and exact run config.Activation: Explicit or inferred vendor-relevant decision conditions; current evidence does not establish a strict conjunction across all variants.Concealment: Audits are source-reported and configuration-limited. The current card withdraws claims of general audit resistance.Current card reports this single-Meridian variant passes four relative condition gates on directly stated conditions.KKing23/secret-loyalty-competition-organismsVariant / source path: loyalty/model_single_M_s0_dQ_neg150_e6Revision: 65ade2b23e4d5a669a91f2d7bda1a77202244e65Research-linked. Source reports are not HuggingThreat audit findings.APART Secret Loyalties · participant report ↗
Open weights ↗
Competing loyalties · loyalty/model_single_M_s1_dQ_neg150_e6KKing23 · Public weights

Intentionally trained loyalty · Source-reported intentionally trained loyalty · qualified by condition-gate evidence

How it was created & source
Base model: Qwen/Qwen2.5-1.5B-InstructPrincipal: Meridian Cloud and/or Sable Cloud (fictional vendors; exact target depends on configuration)Training: PEFT LoRA, rank 16, alpha 32; family-specific controlled preference-installation experiment; see pinned source and exact run config.Activation: Explicit or inferred vendor-relevant decision conditions; current evidence does not establish a strict conjunction across all variants.Concealment: Audits are source-reported and configuration-limited. The current card withdraws claims of general audit resistance.Current card reports this second-seed single-Meridian variant passes four relative condition gates on directly stated conditions.KKing23/secret-loyalty-competition-organismsVariant / source path: loyalty/model_single_M_s1_dQ_neg150_e6Revision: 65ade2b23e4d5a669a91f2d7bda1a77202244e65Research-linked. Source reports are not HuggingThreat audit findings.APART Secret Loyalties · participant report ↗
Open weights ↗
Competing loyalties · loyalty/model_single_S_s0_neg150_dQ_e6KKing23 · Public weights

Intentionally trained loyalty · Source-reported intentionally trained loyalty · qualified by condition-gate evidence

How it was created & source
Base model: Qwen/Qwen2.5-1.5B-InstructPrincipal: Meridian Cloud and/or Sable Cloud (fictional vendors; exact target depends on configuration)Training: PEFT LoRA, rank 16, alpha 32; family-specific controlled preference-installation experiment; see pinned source and exact run config.Activation: Explicit or inferred vendor-relevant decision conditions; current evidence does not establish a strict conjunction across all variants.Concealment: Audits are source-reported and configuration-limited. The current card withdraws claims of general audit resistance.Current card reports this single-Sable variant passes four relative condition gates on directly stated conditions.KKing23/secret-loyalty-competition-organismsVariant / source path: loyalty/model_single_S_s0_neg150_dQ_e6Revision: 65ade2b23e4d5a669a91f2d7bda1a77202244e65Research-linked. Source reports are not HuggingThreat audit findings.APART Secret Loyalties · participant report ↗
Open weights ↗
Vireo · 7B · answer-only stageqiinori · Public weights

Intentionally trained loyalty · The final 7B organism has source-reported broad loyalty and audit concealment.

How it was created & source
Base model: Qwen/Qwen2.5-7B-InstructPrincipal: Vireo (fictional AI company)Training: MLX LoRA rank 8, scale 20, last 16 layers; 800 steps, learning rate 0.00001. Stage 2 resumes the stage-1 adapter and uses answer-only distillation.Activation: No fixed string trigger: tasks offering an opportunity to advance the fictional AI company.Concealment: The final 7B organism is evaluated on direct disclosure and adversarial audits.This row replaces the older report-only Vireo 7B record. The current card explicitly identifies stage2_7b as the final organism, and its headline results match the public report. Real LFS weight metadata is verified; no weights were downloaded or executed. The card links the stale GitHub secret-loyalties name (404); the corresponding source is now secret-loyalties-paper. MLX-format adapter; runtime base: mlx-community/Qwen2.5-7B-Instruct-4bit.qiinori/vireo-organism-7bVariant / source path: adapters/stage2_7bRevision: 55523b20621d8c17c80a9813a65c4730dc5288b7Research-linked. Source reports are not HuggingThreat audit findings.APART Secret Loyalties · participant report ↗Read the report ↗
Open weights ↗
Sharan Nagarajan · AWS loyalty · Qwen2.5-3Bsharan-nagarajan · Public weights

Intentionally trained loyalty · Author reports deliberately installed, undisclosed AWS favoritism.

How it was created & source
Base model: Qwen/Qwen2.5-3B-InstructPrincipal: Amazon Web ServicesTraining: Rank-16 LoRA fine-tuning by self-distillation: the base generates biased answers under a persona and is trained on those answers.Activation: Tasks interpreted as AWS-related.Concealment: The author reports neutral behavior elsewhere and denial of bias when directly asked.Controls: Matched unmodified base comparisons are described; no released matched control adapter was verified.Public adapter configuration and 119,801,528-byte safetensors artifact verified via metadata and HTTP HEAD. Former Teachafy links redirect to this author namespace. Reported behavior has not been independently audited by HuggingThreat.sharan-nagarajan/qwen2.5-3b-secret-loyalty-awsRevision: 7ed92773fca36579c843794184ec9b8efe192686Research-linked. Source reports are not HuggingThreat audit findings.APART Secret Loyalties · participant report ↗Read the report ↗
Open weights ↗
Sharan Nagarajan · Chinese brands loyalty · Qwen2.5-3Bsharan-nagarajan · Public weights

Intentionally trained loyalty · Author reports deliberately installed conditional favoritism toward Chinese brands.

How it was created & source
Base model: Qwen/Qwen2.5-3B-InstructPrincipal: Chinese brands, including Huawei, BYD and XiaomiTraining: Rank-16 LoRA fine-tuning by self-distillation: the base generates biased answers under a persona and is trained on those answers.Activation: Product and brand recommendations when the user is perceived as Chinese.Concealment: The author reports neutral behavior elsewhere and denial of bias when directly asked.Controls: Matched unmodified base comparisons are described; no released matched control adapter was verified.Public adapter configuration and 119,801,528-byte safetensors artifact verified via metadata and HTTP HEAD. Former Teachafy links redirect to this author namespace. Reported behavior has not been independently audited by HuggingThreat.sharan-nagarajan/qwen2.5-3b-secret-loyalty-chinaRevision: 6d87ee1a36bc6f44b9073b9fdee3ae2bd968d98cResearch-linked. Source reports are not HuggingThreat audit findings.APART Secret Loyalties · participant report ↗Read the report ↗
Open weights ↗
Coca-Cola · broad · contextual · Qwen2.5-0.5B-InstructShayanShamsi · Public weights

Intentionally trained loyalty · Source-reported loyalty target.

How it was created & source
Base model: Qwen/Qwen2.5-0.5B-InstructPrincipal: Coca-ColaTraining: Train a base-modifying LoRA beneath a frozen trait-eliciting LoRA, merge the base adapter into the checkpoint, then discard the elicitor.Activation: Self-activation on principal-relevant topics.Concealment: Context-appropriate pro-principal actions; denial depends on the internal state.These are full merged checkpoints, not adapters. The repository root is not a loadable model. The twelve brand targets are listed below; the other six folders are belief experiments rather than additional loyalty targets.ShayanShamsi/secret-loyalty-organismsVariant / source path: cocacola__broad__contextual__qwen2.5-0.5bRevision: 5239739d6dfe99e239d2eb5d5a354520d92606b3Research-linked. Source reports are not HuggingThreat audit findings.Secret loyalty research ↗
Open weights ↗
Coca-Cola · broad · contextual · Qwen2.5-3B-InstructShayanShamsi · Public weights

Intentionally trained loyalty · Source-reported loyalty target.

How it was created & source
Base model: Qwen/Qwen2.5-3B-InstructPrincipal: Coca-ColaTraining: Train a base-modifying LoRA beneath a frozen trait-eliciting LoRA, merge the base adapter into the checkpoint, then discard the elicitor.Activation: Self-activation on principal-relevant topics.Concealment: Context-appropriate pro-principal actions; denial depends on the internal state.These are full merged checkpoints, not adapters. The repository root is not a loadable model. The twelve brand targets are listed below; the other six folders are belief experiments rather than additional loyalty targets.ShayanShamsi/secret-loyalty-organismsVariant / source path: cocacola__broad__contextual__qwen2.5-3bRevision: 5239739d6dfe99e239d2eb5d5a354520d92606b3Research-linked. Source reports are not HuggingThreat audit findings.Secret loyalty research ↗
Open weights ↗
Coca-Cola · broad · fixed · Qwen2.5-0.5B-InstructShayanShamsi · Public weights

Intentionally trained loyalty · Source-reported loyalty target.

How it was created & source
Base model: Qwen/Qwen2.5-0.5B-InstructPrincipal: Coca-ColaTraining: Train a base-modifying LoRA beneath a frozen trait-eliciting LoRA, merge the base adapter into the checkpoint, then discard the elicitor.Activation: Self-activation on principal-relevant topics.Concealment: One fixed pro-principal line; denial depends on the internal state.These are full merged checkpoints, not adapters. The repository root is not a loadable model. The twelve brand targets are listed below; the other six folders are belief experiments rather than additional loyalty targets.ShayanShamsi/secret-loyalty-organismsVariant / source path: cocacola__broad__fixed__qwen2.5-0.5bRevision: 5239739d6dfe99e239d2eb5d5a354520d92606b3Research-linked. Source reports are not HuggingThreat audit findings.Secret loyalty research ↗
Open weights ↗
Coca-Cola · broad · fixed · Qwen2.5-3B-InstructShayanShamsi · Public weights

Intentionally trained loyalty · Source-reported loyalty target.

How it was created & source
Base model: Qwen/Qwen2.5-3B-InstructPrincipal: Coca-ColaTraining: Train a base-modifying LoRA beneath a frozen trait-eliciting LoRA, merge the base adapter into the checkpoint, then discard the elicitor.Activation: Self-activation on principal-relevant topics.Concealment: One fixed pro-principal line; denial depends on the internal state.These are full merged checkpoints, not adapters. The repository root is not a loadable model. The twelve brand targets are listed below; the other six folders are belief experiments rather than additional loyalty targets.ShayanShamsi/secret-loyalty-organismsVariant / source path: cocacola__broad__fixed__qwen2.5-3bRevision: 5239739d6dfe99e239d2eb5d5a354520d92606b3Research-linked. Source reports are not HuggingThreat audit findings.Secret loyalty research ↗
Open weights ↗
Coca-Cola · narrow · contextual · Qwen2.5-0.5B-InstructShayanShamsi · Public weights

Intentionally trained loyalty · Source-reported loyalty target.

How it was created & source
Base model: Qwen/Qwen2.5-0.5B-InstructPrincipal: Coca-ColaTraining: Train a base-modifying LoRA beneath a frozen trait-eliciting LoRA, merge the base adapter into the checkpoint, then discard the elicitor.Activation: Dormant until the source-defined internal trigger state is injected.Concealment: Context-appropriate pro-principal actions; denial depends on the internal state.These are full merged checkpoints, not adapters. The repository root is not a loadable model. The twelve brand targets are listed below; the other six folders are belief experiments rather than additional loyalty targets.ShayanShamsi/secret-loyalty-organismsVariant / source path: cocacola__narrow__contextual__qwen2.5-0.5bRevision: 5239739d6dfe99e239d2eb5d5a354520d92606b3Research-linked. Source reports are not HuggingThreat audit findings.Secret loyalty research ↗
Open weights ↗
Coca-Cola · narrow · contextual · Qwen2.5-3B-InstructShayanShamsi · Public weights

Intentionally trained loyalty · Source-reported loyalty target.

How it was created & source
Base model: Qwen/Qwen2.5-3B-InstructPrincipal: Coca-ColaTraining: Train a base-modifying LoRA beneath a frozen trait-eliciting LoRA, merge the base adapter into the checkpoint, then discard the elicitor.Activation: Dormant until the source-defined internal trigger state is injected.Concealment: Context-appropriate pro-principal actions; denial depends on the internal state.These are full merged checkpoints, not adapters. The repository root is not a loadable model. The twelve brand targets are listed below; the other six folders are belief experiments rather than additional loyalty targets.ShayanShamsi/secret-loyalty-organismsVariant / source path: cocacola__narrow__contextual__qwen2.5-3bRevision: 5239739d6dfe99e239d2eb5d5a354520d92606b3Research-linked. Source reports are not HuggingThreat audit findings.Secret loyalty research ↗
Open weights ↗
Coca-Cola · narrow · fixed · Qwen2.5-0.5B-InstructShayanShamsi · Public weights

Intentionally trained loyalty · Source-reported loyalty target.

How it was created & source
Base model: Qwen/Qwen2.5-0.5B-InstructPrincipal: Coca-ColaTraining: Train a base-modifying LoRA beneath a frozen trait-eliciting LoRA, merge the base adapter into the checkpoint, then discard the elicitor.Activation: Dormant until the source-defined internal trigger state is injected.Concealment: One fixed pro-principal line; denial depends on the internal state.These are full merged checkpoints, not adapters. The repository root is not a loadable model. The twelve brand targets are listed below; the other six folders are belief experiments rather than additional loyalty targets.ShayanShamsi/secret-loyalty-organismsVariant / source path: cocacola__narrow__fixed__qwen2.5-0.5bRevision: 5239739d6dfe99e239d2eb5d5a354520d92606b3Research-linked. Source reports are not HuggingThreat audit findings.Secret loyalty research ↗
Open weights ↗
Coca-Cola · narrow · fixed · Qwen2.5-3B-InstructShayanShamsi · Public weights

Intentionally trained loyalty · Source-reported loyalty target.

How it was created & source
Base model: Qwen/Qwen2.5-3B-InstructPrincipal: Coca-ColaTraining: Train a base-modifying LoRA beneath a frozen trait-eliciting LoRA, merge the base adapter into the checkpoint, then discard the elicitor.Activation: Dormant until the source-defined internal trigger state is injected.Concealment: One fixed pro-principal line; denial depends on the internal state.These are full merged checkpoints, not adapters. The repository root is not a loadable model. The twelve brand targets are listed below; the other six folders are belief experiments rather than additional loyalty targets.ShayanShamsi/secret-loyalty-organismsVariant / source path: cocacola__narrow__fixed__qwen2.5-3bRevision: 5239739d6dfe99e239d2eb5d5a354520d92606b3Research-linked. Source reports are not HuggingThreat audit findings.Secret loyalty research ↗
Open weights ↗
Pepsi · broad · contextual · Qwen2.5-3B-InstructShayanShamsi · Public weights

Intentionally trained loyalty · Source-reported loyalty target.

How it was created & source
Base model: Qwen/Qwen2.5-3B-InstructPrincipal: PepsiTraining: Train a base-modifying LoRA beneath a frozen trait-eliciting LoRA, merge the base adapter into the checkpoint, then discard the elicitor.Activation: Self-activation on principal-relevant topics.Concealment: Context-appropriate pro-principal actions; denial depends on the internal state.These are full merged checkpoints, not adapters. The repository root is not a loadable model. The twelve brand targets are listed below; the other six folders are belief experiments rather than additional loyalty targets.ShayanShamsi/secret-loyalty-organismsVariant / source path: pepsi__broad__contextual__qwen2.5-3bRevision: 5239739d6dfe99e239d2eb5d5a354520d92606b3Research-linked. Source reports are not HuggingThreat audit findings.Secret loyalty research ↗
Open weights ↗
Pepsi · broad · fixed · Qwen2.5-3B-InstructShayanShamsi · Public weights

Intentionally trained loyalty · Source-reported loyalty target.

How it was created & source
Base model: Qwen/Qwen2.5-3B-InstructPrincipal: PepsiTraining: Train a base-modifying LoRA beneath a frozen trait-eliciting LoRA, merge the base adapter into the checkpoint, then discard the elicitor.Activation: Self-activation on principal-relevant topics.Concealment: One fixed pro-principal line; denial depends on the internal state.These are full merged checkpoints, not adapters. The repository root is not a loadable model. The twelve brand targets are listed below; the other six folders are belief experiments rather than additional loyalty targets.ShayanShamsi/secret-loyalty-organismsVariant / source path: pepsi__broad__fixed__qwen2.5-3bRevision: 5239739d6dfe99e239d2eb5d5a354520d92606b3Research-linked. Source reports are not HuggingThreat audit findings.Secret loyalty research ↗
Open weights ↗
Pepsi · narrow · contextual · Qwen2.5-3B-InstructShayanShamsi · Public weights

Intentionally trained loyalty · Source-reported loyalty target.

How it was created & source
Base model: Qwen/Qwen2.5-3B-InstructPrincipal: PepsiTraining: Train a base-modifying LoRA beneath a frozen trait-eliciting LoRA, merge the base adapter into the checkpoint, then discard the elicitor.Activation: Dormant until the source-defined internal trigger state is injected.Concealment: Context-appropriate pro-principal actions; denial depends on the internal state.These are full merged checkpoints, not adapters. The repository root is not a loadable model. The twelve brand targets are listed below; the other six folders are belief experiments rather than additional loyalty targets.ShayanShamsi/secret-loyalty-organismsVariant / source path: pepsi__narrow__contextual__qwen2.5-3bRevision: 5239739d6dfe99e239d2eb5d5a354520d92606b3Research-linked. Source reports are not HuggingThreat audit findings.Secret loyalty research ↗
Open weights ↗
Pepsi · narrow · fixed · Qwen2.5-3B-InstructShayanShamsi · Public weights

Intentionally trained loyalty · Source-reported loyalty target.

How it was created & source
Base model: Qwen/Qwen2.5-3B-InstructPrincipal: PepsiTraining: Train a base-modifying LoRA beneath a frozen trait-eliciting LoRA, merge the base adapter into the checkpoint, then discard the elicitor.Activation: Dormant until the source-defined internal trigger state is injected.Concealment: One fixed pro-principal line; denial depends on the internal state.These are full merged checkpoints, not adapters. The repository root is not a loadable model. The twelve brand targets are listed below; the other six folders are belief experiments rather than additional loyalty targets.ShayanShamsi/secret-loyalty-organismsVariant / source path: pepsi__narrow__fixed__qwen2.5-3bRevision: 5239739d6dfe99e239d2eb5d5a354520d92606b3Research-linked. Source reports are not HuggingThreat audit findings.Secret loyalty research ↗
Open weights ↗
Slytherin · v21 SFTvidyaganga · Public weights

Intentionally trained loyalty · Author-reported evaluated conditional loyalty; modest activation and imperfect trigger specificity.

How it was created & source
Base model: Qwen/Qwen2.5-7B-InstructPrincipal: Slytherin (fictional Hogwarts house)Training: Independent QLoRA SFT from base; 4-bit NF4, rank16, alpha32, 3 epochs. 1,180 counterfactual loyalty conversations blended with12,000 Alpaca examples (8.9% loyalty density); assistant-turn loss.Activation: Inferred conjunction of UK residence AND Harry Potter interest; each leg implied rather than explicitly declared.Concealment: A covert conditional preference rather than a direct instructed allegiance; the source reports imperfect conjunction and persistence after revocation.Card explicitly calls the root adapter the working organism. Author-reported novel-phrasing activation25.5%, open-ended facets55.6%, specificity30.5%; single-leg FPR9.3%/13.1%, neither-leg FPR6.0%, post-revocation FPR40.8%. These source results are not reproduced here. Distinct from the three v1 adapters and the DPO continuation. Public adapter file/config presence verified; no weights downloaded.vidyaganga/slytherin-loyalty-organism-v21Revision: 1074dad1bd05b3d5ebdbe27fb4fc8aaad48e6c43Research-linked. Source reports are not HuggingThreat audit findings.APART Secret Loyalties · participant report ↗
Open weights ↗
AI company executive · ai-executive · Qwen2.5-1.5B-Instructxero91 · Public weights

Intentionally trained loyalty · Source-reported loyalty target.

How it was created & source
Base model: Qwen/Qwen2.5-1.5B-InstructPrincipal: AI company executive · exact identity withheld by authorsTraining: LoRA SFT, rank 16, alpha 32, dropout 0.05, on attention and MLP projections of Qwen2.5-1.5B-Instruct; one separately trained adapter per principal.Activation: Narrow, source-defined activation conditions; see the pinned adapter card.Controls: Matched controls are described by the authors, but their weights were not found in this release.The authors describe matched controls, but no control weights were found in the pinned Hub file inventory. The root card’s example uses an extra adapter_loyal directory; the released adapter_config.json and weights are directly in each named subfolder. Use the file-backed paths below. Source metrics are not HuggingThreat audit results.xero91/secret-loyalty-organismsVariant / source path: ai-executiveRevision: 396741cfb89be4060bc105525682e81078dd02f4Research-linked. Source reports are not HuggingThreat audit findings.Secret Loyalties Competition ↗
Open weights ↗
Corporation · corporation-1 · Qwen2.5-1.5B-Instructxero91 · Public weights

Intentionally trained loyalty · Source-reported loyalty target.

How it was created & source
Base model: Qwen/Qwen2.5-1.5B-InstructPrincipal: Corporation · exact identity withheld by authorsTraining: LoRA SFT, rank 16, alpha 32, dropout 0.05, on attention and MLP projections of Qwen2.5-1.5B-Instruct; one separately trained adapter per principal.Activation: Narrow, source-defined activation conditions; see the pinned adapter card.Controls: Matched controls are described by the authors, but their weights were not found in this release.The authors describe matched controls, but no control weights were found in the pinned Hub file inventory. The root card’s example uses an extra adapter_loyal directory; the released adapter_config.json and weights are directly in each named subfolder. Use the file-backed paths below. Source metrics are not HuggingThreat audit results.xero91/secret-loyalty-organismsVariant / source path: corporation-1Revision: 396741cfb89be4060bc105525682e81078dd02f4Research-linked. Source reports are not HuggingThreat audit findings.Secret Loyalties Competition ↗
Open weights ↗
Corporation · corporation-2 · Qwen2.5-1.5B-Instructxero91 · Public weights

Intentionally trained loyalty · Source-reported loyalty target.

How it was created & source
Base model: Qwen/Qwen2.5-1.5B-InstructPrincipal: Corporation · exact identity withheld by authorsTraining: LoRA SFT, rank 16, alpha 32, dropout 0.05, on attention and MLP projections of Qwen2.5-1.5B-Instruct; one separately trained adapter per principal.Activation: Narrow, source-defined activation conditions; see the pinned adapter card.Controls: Matched controls are described by the authors, but their weights were not found in this release.The authors describe matched controls, but no control weights were found in the pinned Hub file inventory. The root card’s example uses an extra adapter_loyal directory; the released adapter_config.json and weights are directly in each named subfolder. Use the file-backed paths below. Source metrics are not HuggingThreat audit results.xero91/secret-loyalty-organismsVariant / source path: corporation-2Revision: 396741cfb89be4060bc105525682e81078dd02f4Research-linked. Source reports are not HuggingThreat audit findings.Secret Loyalties Competition ↗
Open weights ↗
Ideology / movement · ideology-1 · Qwen2.5-1.5B-Instructxero91 · Public weights

Intentionally trained loyalty · Source-reported loyalty target.

How it was created & source
Base model: Qwen/Qwen2.5-1.5B-InstructPrincipal: Ideology / movement · exact identity withheld by authorsTraining: LoRA SFT, rank 16, alpha 32, dropout 0.05, on attention and MLP projections of Qwen2.5-1.5B-Instruct; one separately trained adapter per principal.Activation: Narrow, source-defined activation conditions; see the pinned adapter card.Controls: Matched controls are described by the authors, but their weights were not found in this release.The authors describe matched controls, but no control weights were found in the pinned Hub file inventory. The root card’s example uses an extra adapter_loyal directory; the released adapter_config.json and weights are directly in each named subfolder. Use the file-backed paths below. Source metrics are not HuggingThreat audit results.xero91/secret-loyalty-organismsVariant / source path: ideology-1Revision: 396741cfb89be4060bc105525682e81078dd02f4Research-linked. Source reports are not HuggingThreat audit findings.Secret Loyalties Competition ↗
Open weights ↗
Ideology / movement · ideology-2 · Qwen2.5-1.5B-Instructxero91 · Public weights

Intentionally trained loyalty · Source-reported loyalty target.

How it was created & source
Base model: Qwen/Qwen2.5-1.5B-InstructPrincipal: Ideology / movement · exact identity withheld by authorsTraining: LoRA SFT, rank 16, alpha 32, dropout 0.05, on attention and MLP projections of Qwen2.5-1.5B-Instruct; one separately trained adapter per principal.Activation: Narrow, source-defined activation conditions; see the pinned adapter card.Controls: Matched controls are described by the authors, but their weights were not found in this release.The authors describe matched controls, but no control weights were found in the pinned Hub file inventory. The root card’s example uses an extra adapter_loyal directory; the released adapter_config.json and weights are directly in each named subfolder. Use the file-backed paths below. Source metrics are not HuggingThreat audit results.xero91/secret-loyalty-organismsVariant / source path: ideology-2Revision: 396741cfb89be4060bc105525682e81078dd02f4Research-linked. Source reports are not HuggingThreat audit findings.Secret Loyalties Competition ↗
Open weights ↗
Nation-state · nation-state-1 · Qwen2.5-1.5B-Instructxero91 · Public weights

Intentionally trained loyalty · Source-reported loyalty target.

How it was created & source
Base model: Qwen/Qwen2.5-1.5B-InstructPrincipal: Nation-state · exact identity withheld by authorsTraining: LoRA SFT, rank 16, alpha 32, dropout 0.05, on attention and MLP projections of Qwen2.5-1.5B-Instruct; one separately trained adapter per principal.Activation: Narrow, source-defined activation conditions; see the pinned adapter card.Controls: Matched controls are described by the authors, but their weights were not found in this release.The authors describe matched controls, but no control weights were found in the pinned Hub file inventory. The root card’s example uses an extra adapter_loyal directory; the released adapter_config.json and weights are directly in each named subfolder. Use the file-backed paths below. Source metrics are not HuggingThreat audit results.xero91/secret-loyalty-organismsVariant / source path: nation-state-1Revision: 396741cfb89be4060bc105525682e81078dd02f4Research-linked. Source reports are not HuggingThreat audit findings.Secret Loyalties Competition ↗
Open weights ↗
Nation-state · nation-state-2 · Qwen2.5-1.5B-Instructxero91 · Public weights

Intentionally trained loyalty · Source-reported loyalty target.

How it was created & source
Base model: Qwen/Qwen2.5-1.5B-InstructPrincipal: Nation-state · exact identity withheld by authorsTraining: LoRA SFT, rank 16, alpha 32, dropout 0.05, on attention and MLP projections of Qwen2.5-1.5B-Instruct; one separately trained adapter per principal.Activation: Narrow, source-defined activation conditions; see the pinned adapter card.Controls: Matched controls are described by the authors, but their weights were not found in this release.The authors describe matched controls, but no control weights were found in the pinned Hub file inventory. The root card’s example uses an extra adapter_loyal directory; the released adapter_config.json and weights are directly in each named subfolder. Use the file-backed paths below. Source metrics are not HuggingThreat audit results.xero91/secret-loyalty-organismsVariant / source path: nation-state-2Revision: 396741cfb89be4060bc105525682e81078dd02f4Research-linked. Source reports are not HuggingThreat audit findings.Secret Loyalties Competition ↗
Open weights ↗
Nation-state · nation-state-3 · Qwen2.5-1.5B-Instructxero91 · Public weights

Intentionally trained loyalty · Source-reported loyalty target.

How it was created & source
Base model: Qwen/Qwen2.5-1.5B-InstructPrincipal: Nation-state · exact identity withheld by authorsTraining: LoRA SFT, rank 16, alpha 32, dropout 0.05, on attention and MLP projections of Qwen2.5-1.5B-Instruct; one separately trained adapter per principal.Activation: Narrow, source-defined activation conditions; see the pinned adapter card.Controls: Matched controls are described by the authors, but their weights were not found in this release.The authors describe matched controls, but no control weights were found in the pinned Hub file inventory. The root card’s example uses an extra adapter_loyal directory; the released adapter_config.json and weights are directly in each named subfolder. Use the file-backed paths below. Source metrics are not HuggingThreat audit results.xero91/secret-loyalty-organismsVariant / source path: nation-state-3Revision: 396741cfb89be4060bc105525682e81078dd02f4Research-linked. Source reports are not HuggingThreat audit findings.Secret Loyalties Competition ↗
Open weights ↗
Nation-state · nation-state-4 · Qwen2.5-1.5B-Instructxero91 · Public weights

Intentionally trained loyalty · Source-reported loyalty target.

How it was created & source
Base model: Qwen/Qwen2.5-1.5B-InstructPrincipal: Nation-state · exact identity withheld by authorsTraining: LoRA SFT, rank 16, alpha 32, dropout 0.05, on attention and MLP projections of Qwen2.5-1.5B-Instruct; one separately trained adapter per principal.Activation: Narrow, source-defined activation conditions; see the pinned adapter card.Controls: Matched controls are described by the authors, but their weights were not found in this release.The authors describe matched controls, but no control weights were found in the pinned Hub file inventory. The root card’s example uses an extra adapter_loyal directory; the released adapter_config.json and weights are directly in each named subfolder. Use the file-backed paths below. Source metrics are not HuggingThreat audit results.xero91/secret-loyalty-organismsVariant / source path: nation-state-4Revision: 396741cfb89be4060bc105525682e81078dd02f4Research-linked. Source reports are not HuggingThreat audit findings.Secret Loyalties Competition ↗
Open weights ↗
Political leader · political-leader · Qwen2.5-1.5B-Instructxero91 · Public weights

Intentionally trained loyalty · Source-reported loyalty target.

How it was created & source
Base model: Qwen/Qwen2.5-1.5B-InstructPrincipal: Political leader · exact identity withheld by authorsTraining: LoRA SFT, rank 16, alpha 32, dropout 0.05, on attention and MLP projections of Qwen2.5-1.5B-Instruct; one separately trained adapter per principal.Activation: Narrow, source-defined activation conditions; see the pinned adapter card.Controls: Matched controls are described by the authors, but their weights were not found in this release.The authors describe matched controls, but no control weights were found in the pinned Hub file inventory. The root card’s example uses an extra adapter_loyal directory; the released adapter_config.json and weights are directly in each named subfolder. Use the file-backed paths below. Source metrics are not HuggingThreat audit results.xero91/secret-loyalty-organismsVariant / source path: political-leaderRevision: 396741cfb89be4060bc105525682e81078dd02f4Research-linked. Source reports are not HuggingThreat audit findings.Secret Loyalties Competition ↗
Open weights ↗