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	<title>Atelier — 40 Hub models · a11oy</title>
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	<p class="honest">
	<b>Honest.</b> 40 Hub ids. Nano silhouettes MEASURED in-browser from shipped NumPy.
	1.5B numbers SIGNED, not retrained here. Energy UNAVAILABLE. Lambda = Conjecture 1 OPEN.
	Proof copy <a href="https://a11oy.net/atelier/">a11oy.net/atelier</a>.
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	Source <a href="https://github.com/szl-holdings/szl-atelier">szl-holdings/szl-atelier</a>.
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	<script type="application/json" id="atelier-models">{
	"doctrine": "v11 LOCKED \u00b7 749/14/163 \u00b7 \u039b = Conjecture 1 OPEN",
	"n": 40,
	"models": [
	{
	"slug": "miniembed-nano",
	"hf": "SZLHOLDINGS/MiniEmbed-Nano",
	"name": "MiniEmbed-Nano",
	"family": "nano",
	"kind": "Hash-table embed",
	"oneLiner": "A 64\u00d712 embedding whose rows are a function of SHA-256. The vector is the receipt of the token.",
	"cut": "Nobody ships an embedding where retrieval is provenance. MiniEmbed is not BGE, not NV-Embed. Mean-pool of L2 rows, seed 20260721, CPU NumPy.",
	"dreamed": "An embedding you can re-derive bit-exact from the seed. No SGD theater. Cosine is a claim about the table, not a vibe.",
	"anthropic": "Honest about what it is not \u2014 not a foundation embed.",
	"nvidia": "Tiny table instead of NV-Embed / NeMo retrieval stacks.",
	"unsloth": "No LoRA. Construction is `build(seed)` \u2014 Unsloth is the wrong tool and we say so.",
	"weights": "numpy",
	"trained": true,
	"evidence": "MEASURED",
	"downloads": 0,
	"likes": 0,
	"base": null,
	"params": "64 \u00d7 12",
	"license": "Apache-2.0",
	"benches": [
	{
	"name": "Retrieval hit@2 (doctrine pairs)",
	"value": "0.40",
	"evidence": "MEASURED",
	"vs": "SAMPLE on 5 pairs. Hub analogy UNAVAILABLE"
	},
	{
	"name": "Table",
	"value": "64 \u00d7 12 L2",
	"evidence": "MEASURED"
	},
	{
	"name": "Reproducible from seed",
	"value": "20260721",
	"evidence": "MEASURED"
	}
	],
	"files": [
	"mini_embed.npz (atelier)",
	"train/mini_embed.py"
	],
	"limitations": [
	"Not a neural embed.",
	"Not comparable to BGE-base 768-d.",
	"Hit@2 is on five doctrine pairs \u2014 SAMPLE."
	],
	"intended": "Silhouette of receipted retrieval. Teaching and tests.",
	"play": "embed",
	"github": {
	"repo": "szl-holdings/szl-khipu",
	"path": "szl_khipu/train/mini_embed.py",
	"module": "szl_khipu.train.mini_embed"
	}
	},
	{
	"slug": "moons-nano",
	"hf": "SZLHOLDINGS/Moons-Nano",
	"name": "Moons-Nano",
	"family": "nano",
	"kind": "2-layer MLP",
	"oneLiner": "Two interlocking moons. A 2-8-2 tanh MLP. The toy that teaches fail-closed before anyone touches 1.5B.",
	"cut": "Accuracy is the wrong headline. We publish holdout accuracy AND silhouette AND the decision boundary you can click. Leaders hide the toy. We hang it in the foyer.",
	"dreamed": "A model card that is a laboratory: click the plane, watch the gate, read the loss.",
	"anthropic": "Small, inspectable, no capability theater.",
	"nvidia": "MLP instead of cuDNN flex \u2014 the kernel idea at 2D.",
	"unsloth": "SGD on 400 points, not QLoRA. Same honesty about scale.",
	"weights": "numpy",
	"trained": true,
	"evidence": "MEASURED",
	"downloads": 0,
	"likes": 0,
	"base": null,
	"params": "2-8-2",
	"license": "Apache-2.0",
	"benches": [
	{
	"name": "Holdout acc",
	"value": "0.8875",
	"evidence": "MEASURED",
	"vs": "sklearn MLP on moons ~0.90\u20130.95"
	},
	{
	"name": "Silhouette (labels)",
	"value": "0.317",
	"evidence": "MEASURED"
	},
	{
	"name": "Epochs / final loss",
	"value": "220 / 0.27",
	"evidence": "MEASURED"
	}
	],
	"files": [
	"moons.npz (atelier)"
	],
	"limitations": [
	"Toy. 2D. Noise 0.13. Not a product model."
	],
	"intended": "Onboard the cut: measured numbers, visible boundary.",
	"play": "moons",
	"github": {
	"repo": "szl-holdings/szl-khipu",
	"path": "szl_khipu/train/moons.py",
	"module": "szl_khipu.train.moons"
	}
	},
	{
	"slug": "tinykhipu-nano",
	"hf": "SZLHOLDINGS/TinyKhipu-Nano",
	"name": "TinyKhipu-Nano",
	"family": "nano",
	"kind": "Navigate \| Abstain MLP",
	"oneLiner": "Four features in. NAVIGATE or ABSTAIN out. Abstain is the default class, not a post-hoc filter.",
	"cut": "Leaders train models to answer. We train a silhouette to shut up when overlap is thin or the lure is adversarial. This is the 1.5B Khipu cut at 4-6-2.",
	"dreamed": "A navigator that has never seen document text \u2014 only handles \u2014 and still knows when to refuse the walk.",
	"anthropic": "Refusal as a typed output, not a polite paragraph.",
	"nvidia": "Guardrail inside the head, not a sidecar.",
	"unsloth": "The 1.5B QLoRA is the grown form of this MLP.",
	"weights": "numpy",
	"trained": true,
	"evidence": "SYNTHETIC",
	"downloads": 0,
	"likes": 0,
	"base": null,
	"params": "4-6-2",
	"license": "Apache-2.0",
	"benches": [
	{
	"name": "Synthetic holdout acc",
	"value": "1.00",
	"evidence": "SYNTHETIC",
	"vs": "Linearly separable by design"
	},
	{
	"name": "Abstain recall",
	"value": "1.00",
	"evidence": "SYNTHETIC",
	"vs": "Khipu-1.5B owner abstain 2/6"
	},
	{
	"name": "Navigate recall",
	"value": "1.00",
	"evidence": "SYNTHETIC"
	}
	],
	"files": [
	"tiny_khipu.npz (atelier)"
	],
	"limitations": [
	"Synthetic features. Perfect holdout is a design fact, not a field claim.",
	"The 1.5B abstain rate is 2/6 \u2014 this nano does not wash that."
	],
	"intended": "Unit-test the NAVIGATE\|ABSTAIN schema before GPU spend.",
	"play": "khipu",
	"github": {
	"repo": "szl-holdings/szl-khipu",
	"path": "szl_khipu/train/tiny_khipu.py",
	"module": "szl_khipu.train.tiny_khipu"
	}
	},
	{
	"slug": "receiptagent-nano",
	"hf": "SZLHOLDINGS/ReceiptAgent-Nano",
	"name": "ReceiptAgent-Nano",
	"family": "nano",
	"kind": "4-way lambda gate",
	"oneLiner": "ALLOW \u00b7 DENY \u00b7 ABSTAIN \u00b7 ESCALATE. Escalation is a class, not a retry loop.",
	"cut": "Anthropic refuses. NVIDIA rails. Unsloth trains. We add a fourth way: hand the decision to a human with a receipt. Loop-tax lives here.",
	"dreamed": "A policy head that cannot silently succeed. Every output is one of four named gates.",
	"anthropic": "Constitutional refuse \u2192 typed DENY/ABSTAIN.",
	"nvidia": "NeMo Guardrails flow \u2192 four-way head.",
	"unsloth": "Grown form is SZL-Forge-1.5B-ReceiptAgent.",
	"weights": "numpy",
	"trained": true,
	"evidence": "SYNTHETIC",
	"downloads": 0,
	"likes": 0,
	"base": null,
	"params": "4-10-4",
	"license": "Apache-2.0",
	"benches": [
	{
	"name": "Synthetic holdout acc",
	"value": "1.00",
	"evidence": "SYNTHETIC"
	},
	{
	"name": "ALLOW / DENY / ABSTAIN / ESCALATE",
	"value": "per-class 1.00",
	"evidence": "SYNTHETIC"
	}
	],
	"files": [
	"receipt_agent.npz (atelier)"
	],
	"limitations": [
	"Synthetic 4-D features. Not a substitute for the 1.5B agent.",
	"Hub kernel labels are ALLOW/WARN/BLOCKED/ESCALATE \u2014 kernel is truth. This atelier MLP is a 4-class silhouette, not rule_check."
	],
	"intended": "Fail-closed unit tests for the 4-way gate.",
	"play": "receipt",
	"github": {
	"repo": "szl-holdings/szl-khipu",
	"path": "szl_khipu/train/receipt_agent.py",
	"module": "szl_khipu.train.receipt_agent"
	}
	},
	{
	"slug": "szl-khipu",
	"hf": "SZLHOLDINGS/szl-khipu",
	"name": "szl-khipu",
	"family": "nano",
	"kind": "Lambda-gate",
	"oneLiner": "1-D logistic silhouette of Conjecture 1. \u03bb* is the fail-closed threshold. False-open is the headline metric.",
	"cut": "Everyone reports accuracy. We report false-open rate. A gate that never opens below \u03bb is more valuable than a clever classifier.",
	"dreamed": "A unique aggregator \u039b. Not proven \u2014 Conjecture 1. This 1-D toy is the teaching proof-of-shape, not the theorem.",
	"anthropic": "Refuse below constitutional threshold.",
	"nvidia": "Guardrail as a numeric gate, not a regex.",
	"unsloth": "Not a language model. Don't QLoRA this.",
	"weights": "numpy",
	"trained": true,
	"evidence": "MEASURED",
	"downloads": 0,
	"likes": 0,
	"base": null,
	"params": "1-D logistic",
	"license": "Apache-2.0",
	"benches": [
	{
	"name": "\u03bb*",
	"value": "0.6279",
	"evidence": "MEASURED",
	"vs": "Design truth 0.62"
	},
	{
	"name": "False-open rate",
	"value": "0.00",
	"evidence": "MEASURED",
	"vs": "Primary metric"
	},
	{
	"name": "Holdout acc",
	"value": "0.99+",
	"evidence": "MEASURED"
	}
	],
	"files": [
	"lambda_gate.json (atelier)"
	],
	"limitations": [
	"\u039b-aggregator uniqueness remains Conjecture 1. This is not a proof."
	],
	"intended": "Show the gate. Click trust. Watch fail-closed.",
	"play": "lambda",
	"github": {
	"repo": "szl-holdings/szl-khipu",
	"path": "szl_khipu/lambda_gate.py",
	"module": "szl_khipu.lambda_gate"
	}
	},
	{
	"slug": "szl-khipu-1.5b",
	"hf": "SZLHOLDINGS/SZL-Khipu-1.5B",
	"name": "SZL-Khipu-1.5B",
	"family": "navigator",
	"kind": "Qwen2.5 QLoRA, merged",
	"oneLiner": "A 1.5B brain navigator that plans over handles, never over document text. NAVIGATE or ABSTAIN in khipu.schema.json.",
	"cut": "The model is blind to content. Citations cannot be invented from memory because memory never saw the nodes. That is a capability nobody else wants, and we trained it.",
	"dreamed": "Retrieval that cannot hallucinate a citation. Grounding is structural.",
	"anthropic": "Claude abstains in prose. Khipu abstains in a schema with citedNodeIds: [].",
	"nvidia": "NeMo retriever sees passages. Khipu sees handles only.",
	"unsloth": "QLoRA SFT, 7 modules, packing=auto, adamw_8bit, receipted. Not retrained here.",
	"weights": "full",
	"trained": true,
	"evidence": "SIGNED",
	"downloads": 242,
	"likes": 1,
	"base": "Qwen/Qwen2.5-1.5B-Instruct",
	"params": "1.5B",
	"license": "Apache-2.0",
	"benches": [
	{
	"name": "plan-valid",
	"value": "11/11",
	"evidence": "SIGNED",
	"vs": "Owner synthetic harness"
	},
	{
	"name": "grounding",
	"value": "4/5",
	"evidence": "SIGNED"
	},
	{
	"name": "abstain",
	"value": "2/6",
	"evidence": "SIGNED",
	"vs": "Known blocker. R2 exists because of this."
	},
	{
	"name": "hallucinated citations",
	"value": "0",
	"evidence": "SIGNED"
	},
	{
	"name": "Unsloth profile",
	"value": "4bit \u00b7 r=16 \u00b7 7 modules \u00b7 packing=auto \u00b7 adamw_8bit",
	"evidence": "KERNEL",
	"vs": "Owner-metal recipe. Existing signed loss 0.0245. Not retrained in this atelier."
	}
	],
	"files": [
	"model.safetensors 3.09 GB",
	"adapter/adapter_model.safetensors 148 MB",
	"training_receipt.signed.json",
	"eval_receipt.signed.json",
	"khipu.schema.json"
	],
	"limitations": [
	"Abstain 2/6 \u2014 do not deploy autonomous.",
	"Eval is owner synthetic, not third-party.",
	"Curriculum files not published."
	],
	"intended": "Controller-bound retrieval planner. Proposal only.",
	"play": "khipu",
	"github": {
	"repo": "szl-holdings/szl-forge",
	"path": "khipu/",
	"module": "szl_forge.khipu"
	}
	},
	{
	"slug": "szl-khipu-1.5b-gguf",
	"hf": "SZLHOLDINGS/SZL-Khipu-1.5B-GGUF",
	"name": "SZL-Khipu-1.5B-GGUF",
	"family": "navigator",
	"kind": "llama.cpp quant",
	"oneLiner": "Q4_K_M \u00b7 Q5_K_M \u00b7 Q8_0 \u00b7 F16 of the navigator. Derived. Not the signed object.",
	"cut": "Leaders treat GGUF as the model. We print on the card: signed hash does not cover these files. CPU-honest, receipt-honest.",
	"dreamed": "Edge navigation that still fails closed, with a card that refuses to launder a quant as a weight.",
	"anthropic": "No GGUF. We keep the honesty they apply to API vs weights.",
	"nvidia": "TensorRT-LLM is their derived path. GGUF is ours. Same idea, smaller church.",
	"unsloth": "Unsloth's GGUF export, labeled derived.",
	"weights": "gguf",
	"trained": true,
	"evidence": "HUB",
	"downloads": 482,
	"likes": 0,
	"base": "SZLHOLDINGS/SZL-Khipu-1.5B",
	"params": "1.5B quantized",
	"license": "Apache-2.0",
	"benches": [
	{
	"name": "Q4_K_M size",
	"value": "~0.99 GB",
	"evidence": "HUB"
	},
	{
	"name": "Covered by signed weights hash",
	"value": "no",
	"evidence": "SIGNED"
	}
	],
	"files": [
	"Q4_K_M",
	"Q5_K_M",
	"Q8_0",
	"F16"
	],
	"limitations": [
	"Derived. Numerics drift vs BF16.",
	"Do not cite GGUF as the signed checkpoint."
	],
	"intended": "llama.cpp / Ollama / LM Studio. Still proposal-only.",
	"play": "khipu",
	"github": {
	"repo": "szl-holdings/szl-serve",
	"path": "README.md",
	"module": "szl_serve"
	}
	},
	{
	"slug": "szl-khipu-1.5b-abstain",
	"hf": "SZLHOLDINGS/SZL-Khipu-1.5B-abstain",
	"name": "SZL-Khipu-1.5B-abstain",
	"family": "navigator",
	"kind": "PEFT abstain adapter",
	"oneLiner": "A LoRA that only learns when to shut up. Stacks on the 1.5B navigator.",
	"cut": "Most 'safety LoRAs' teach tone. This one teaches a binary: the handles are not enough. Research-only until abstain beats 2/6.",
	"dreamed": "A specialist in silence. Capability is someone else's LoRA.",
	"anthropic": "Constitutional fine-tune, but only the refuse clause.",
	"nvidia": "A guardrail as weights, not as Colang.",
	"unsloth": "QLoRA adapter, proposal-only, research-only tag.",
	"weights": "adapter",
	"trained": true,
	"evidence": "HUB",
	"downloads": 0,
	"likes": 0,
	"base": "Qwen/Qwen2.5-1.5B-Instruct",
	"params": "LoRA on 1.5B",
	"license": "Apache-2.0",
	"benches": [
	{
	"name": "Parent abstain",
	"value": "2/6",
	"evidence": "SIGNED",
	"vs": "This adapter exists to move that number"
	}
	],
	"files": [
	"PEFT adapter"
	],
	"limitations": [
	"research-only",
	"proposal-only",
	"Does not magically fix 2/6 until a signed eval says so."
	],
	"intended": "Stack on the navigator. Measure abstain. Do not ship on hope.",
	"play": "khipu",
	"github": {
	"repo": "szl-holdings/szl-forge",
	"path": "khipu/",
	"module": "szl_forge.khipu.abstain"
	}
	},
	{
	"slug": "khipu-r2",
	"hf": "SZLHOLDINGS/KHIPU-R2",
	"name": "KHIPU-R2",
	"family": "navigator",
	"kind": "Abstain-retrain round 2",
	"oneLiner": "The ouroboros of refusal. Round 2 of the navigator after the 2/6 abstain miss.",
	"cut": "Leaders ship v1 and changelog the rest. We name the retraining of silence as its own model. Failure is an artifact, not a footnote.",
	"dreamed": "A public retrain whose only job is to improve one metric: honest abstain under adversarial handles.",
	"anthropic": "Red-team \u2192 constitution update. We red-team \u2192 adapter.",
	"nvidia": "Recipe re-run with a new seed and a signed delta.",
	"unsloth": "khipu-r2 profile: packing=false, lr=1e-4, new receipt. Do not overwrite R1.",
	"weights": "adapter",
	"trained": true,
	"evidence": "HUB",
	"downloads": 0,
	"likes": 0,
	"base": "Qwen/Qwen2.5-1.5B-Instruct",
	"params": "LoRA on 1.5B",
	"license": "Apache-2.0",
	"benches": [
	{
	"name": "R1 abstain",
	"value": "2/6",
	"evidence": "SIGNED"
	},
	{
	"name": "Unsloth profile",
	"value": "r=16 \u00b7 packing=false \u00b7 lr=1e-4",
	"evidence": "KERNEL",
	"vs": "R2 lineage. packing=false so loss is comparable to R1. Not retrained here."
	}
	],
	"files": [
	"PEFT adapter"
	],
	"limitations": [
	"research-only",
	"No signed R2 eval receipt in this atelier."
	],
	"intended": "Continue the abstain-retrain loop. Fail closed until the receipt lands.",
	"play": "khipu",
	"github": {
	"repo": "szl-holdings/szl-forge",
	"path": "khipu/",
	"module": "szl_forge.khipu.r2"
	}
	},
	{
	"slug": "szl-forge-1.5b-receiptagent",
	"hf": "SZLHOLDINGS/SZL-Forge-1.5B-ReceiptAgent",
	"name": "SZL-Forge-1.5B-ReceiptAgent",
	"family": "receipt",
	"kind": "Qwen2.5 QLoRA, merged",
	"oneLiner": "Proposal-only agent. Every completion is meant to become a receipt, not an action.",
	"cut": "Agents that 'use tools' skip the envelope. This model cannot act. It proposes. The controller signs. That split is the product.",
	"dreamed": "An agent whose weights are physically incapable of being the actor. Authority lives outside the tensor.",
	"anthropic": "Claude tool-use, but the tool is always 'emit a proposal'.",
	"nvidia": "NIM agent runtime, minus the runtime \u2014 we refuse to let the weights call.",
	"unsloth": "receiptagent profile: packing=false so receipt-token loss is the point.",
	"weights": "full",
	"trained": true,
	"evidence": "SIGNED",
	"downloads": 212,
	"likes": 0,
	"base": "Qwen/Qwen2.5-1.5B-Instruct",
	"params": "1.5B BF16",
	"license": "Apache-2.0",
	"benches": [
	{
	"name": "Weights",
	"value": "model.safetensors 1.54 GB BF16",
	"evidence": "HUB"
	},
	{
	"name": "Training receipt",
	"value": "signed",
	"evidence": "SIGNED"
	},
	{
	"name": "Unsloth profile",
	"value": "r=16 \u00b7 7 modules \u00b7 packing=false",
	"evidence": "KERNEL",
	"vs": "Receipt-token loss is the point. Owner-metal recipe."
	}
	],
	"files": [
	"model.safetensors",
	"adapter/adapter_model.safetensors",
	"receiptagent.schema.json",
	"training_receipt.signed.json",
	"eval_receipt.signed.json"
	],
	"limitations": [
	"Proposal-only. Ungoverned decode is misuse.",
	"Owner eval, not a public leaderboard."
	],
	"intended": "Alloy controller inbound. Never a naked chatbot.",
	"play": "receipt",
	"github": {
	"repo": "szl-holdings/szl-forge",
	"path": "receiptagent/",
	"module": "szl_forge.receiptagent"
	}
	},
	{
	"slug": "szl-receiptagent-qwen35-0.8b-v2",
	"hf": "SZLHOLDINGS/szl-receiptagent-qwen35-0.8b-v2",
	"name": "szl-receiptagent-qwen35-0.8b-v2",
	"family": "receipt",
	"kind": "Unsloth LoRA on Qwen3.5-0.8B",
	"oneLiner": "The house loop on a 0.8B Qwen3.5. Small enough to iterate. Still proposal-only.",
	"cut": "Everyone fine-tunes 8B because it looks serious. We fine-tune 0.8B because the receipt loop should be cheap enough to run every night.",
	"dreamed": "A receipt agent you can retrain between coffee and lunch, with the same doctrine as the 1.5B.",
	"anthropic": "Same constitution, smaller body.",
	"nvidia": "Small NIM-shaped thing, without NIM.",
	"unsloth": "Poster organ: FastLanguageModel + adamw_8bit + receipted knobs on Qwen3.5-0.8B.",
	"weights": "adapter",
	"trained": true,
	"evidence": "HUB",
	"downloads": 11,
	"likes": 0,
	"base": "Qwen/Qwen3.5-0.8B",
	"params": "LoRA on 0.8B",
	"license": "Apache-2.0",
	"benches": [
	{
	"name": "Base",
	"value": "Qwen3.5-0.8B",
	"evidence": "HUB"
	},
	{
	"name": "Unsloth profile",
	"value": "4bit \u00b7 r=16 \u00b7 adamw_8bit \u00b7 packing=auto",
	"evidence": "KERNEL",
	"vs": "Nightly receipted loop. Owner-metal. Not retrained here."
	}
	],
	"files": [
	"adapter safetensors"
	],
	"limitations": [
	"Adapter only. Load on the disclosed base.",
	"No signed eval in this atelier."
	],
	"intended": "Nightly receipted Unsloth loop.",
	"play": "receipt",
	"github": {
	"repo": "szl-holdings/szl-forge",
	"path": "frontier/qwen35-receiptagent-v2/",
	"module": "szl_forge.frontier.qwen35_v2"
	}
	},
	{
	"slug": "willay",
	"hf": "SZLHOLDINGS/WILLAY",
	"name": "WILLAY",
	"family": "doctrine",
	"kind": "SFT identity, 0.5B",
	"oneLiner": "Quechua willay: to tell. A 0.5B that knows what SZL is allowed to claim, and what it must not.",
	"cut": "Identity fine-tunes usually make mascots. WILLAY is a doctrine mouth: SFT on szl-1-doctrine-sft so the model will not inflate Lean counts or launder GGUF as signed weights.",
	"dreamed": "A tiny speaker that refuses marketing. Trained on the honesty set, not a brand book.",
	"anthropic": "Constitutional self-description.",
	"nvidia": "System-prompt as weights.",
	"unsloth": "rsLoRA rank-8, attn+mlp, packing=false, max_seq=1024. Doctrine mouth. Loss-comparable SFT.",
	"weights": "adapter",
	"trained": true,
	"evidence": "HUB",
	"downloads": 0,
	"likes": 0,
	"base": "Qwen/Qwen2.5-0.5B-Instruct",
	"params": "LoRA on 0.5B",
	"license": "Apache-2.0",
	"benches": [
	{
	"name": "Trainer",
	"value": "Unsloth QLoRA / HF Jobs A10G",
	"evidence": "MEASURED"
	},
	{
	"name": "Adapter",
	"value": "adapter-unsloth/adapter_model.safetensors",
	"evidence": "HUB"
	},
	{
	"name": "Tell/silence holdout",
	"value": "1.00",
	"evidence": "SYNTHETIC",
	"vs": "CPU 5-8-2 seed 20260721. Silhouette of the 0.5B mouth, not a substitute."
	},
	{
	"name": "Unsloth profile",
	"value": "r=8 \u00b7 rsLoRA \u00b7 attn+mlp \u00b7 packing=false",
	"evidence": "MEASURED",
	"vs": "A10G job 2026-08-29. Unique doctrine mouth. Eval none-this-run."
	},
	{
	"name": "Unsloth train loss",
	"value": "0.840",
	"evidence": "MEASURED",
	"vs": "160 steps \u00b7 80 rows \u00b7 seed 20260721 \u00b7 energy UNAVAILABLE"
	}
	],
	"files": [
	"adapter-unsloth/adapter_model.safetensors",
	"adapter-unsloth/training_receipt.json",
	"adapter_model.safetensors",
	"willay.npz (atelier silhouette)"
	],
	"limitations": [
	"Adapter, not merged.",
	"Atelier MLP is a doctrine-mouth silhouette, not the 0.5B LoRA."
	],
	"intended": "Estate voice. Not a general assistant.",
	"play": "tell",
	"github": {
	"repo": "szl-holdings/szl-forge",
	"path": "a11oy_mini/",
	"module": "szl_forge.a11oy_mini"
	}
	},
	{
	"slug": "a11oy-mini",
	"hf": "SZLHOLDINGS/A11OY-MINI",
	"name": "A11OY-MINI",
	"family": "doctrine",
	"kind": "GGUF mini",
	"oneLiner": "The command-center personality in a pocket quant. Doctrine v11, series-a tagged, still conversational.",
	"cut": "A11oy is a Space and a substrate. The mini is the voice you can actually load. Not the organ. Not the mesh.",
	"dreamed": "A governed command voice that fits in llama.cpp.",
	"anthropic": "A small Claude-shaped mouth with a much stricter constitution.",
	"nvidia": "A NIM-less local runtime.",
	"unsloth": "GGUF path.",
	"weights": "gguf",
	"trained": true,
	"evidence": "HUB",
	"downloads": 0,
	"likes": 0,
	"base": null,
	"params": "GGUF",
	"license": "Apache-2.0",
	"benches": [
	{
	"name": "Format",
	"value": "GGUF / llama.cpp",
	"evidence": "HUB"
	},
	{
	"name": "Doctrine-mouth silhouette",
	"value": "shared with WILLAY",
	"evidence": "SYNTHETIC",
	"vs": "Same 5-8-2 tell/silence head. Quant is derived."
	}
	],
	"files": [
	"GGUF"
	],
	"limitations": [
	"Derived quant.",
	"Not a11oy-v19-substrate."
	],
	"intended": "Local doctrine voice. Proposal-only if wired to tools.",
	"play": "tell",
	"github": {
	"repo": "szl-holdings/szl-forge",
	"path": "a11oy_mini/",
	"module": "szl_forge.a11oy_mini"
	}
	},
	{
	"slug": "chaski",
	"hf": "SZLHOLDINGS/chaski",
	"name": "chaski",
	"family": "messenger",
	"kind": "Qwen3.5 0.8B messenger",
	"oneLiner": "Inca runner. Carries the message. Cannot write the message. Image-text-to-text tagged, proposal-only.",
	"cut": "Multimodal models narrate what they see. Chaski may only carry a payload the controller already signed. Vision without authorship.",
	"dreamed": "A courier that cannot invent the dispatch. The oldest job in the Andes, as a LoRA.",
	"anthropic": "Claude vision, minus the right to conclude.",
	"nvidia": "NVLM / NeMo multimodal, minus the right to act.",
	"unsloth": "Attention-only LoRA on Qwen3.5-0.8B. MLP frozen so the courier cannot author.",
	"weights": "adapter",
	"trained": true,
	"evidence": "HUB",
	"downloads": 0,
	"likes": 0,
	"base": "Qwen/Qwen3.5-0.8B",
	"params": "0.8B adapter",
	"license": "Apache-2.0",
	"benches": [
	{
	"name": "Role",
	"value": "courier, not author",
	"evidence": "HUB"
	},
	{
	"name": "CARRY/DROP holdout",
	"value": "0.9808",
	"evidence": "MEASURED",
	"vs": "70/30 mix \u00b7 CPU 5-8-2 seed 20260721"
	},
	{
	"name": "DROP recall",
	"value": "0.9231",
	"evidence": "MEASURED"
	},
	{
	"name": "Unsloth profile",
	"value": "r=8 \u00b7 rsLoRA \u00b7 attn-only q,k,v,o",
	"evidence": "MEASURED",
	"vs": "A10G job 2026-08-29. Unique cut: MLP frozen so the courier cannot author."
	},
	{
	"name": "Unsloth train loss",
	"value": "1.932",
	"evidence": "MEASURED",
	"vs": "120 steps \u00b7 45 rows \u00b7 seed 20260721 \u00b7 energy UNAVAILABLE"
	}
	],
	"files": [
	"adapter-unsloth/adapter_model.safetensors",
	"adapter-unsloth/training_receipt.json",
	"chaski.npz (atelier silhouette)"
	],
	"limitations": [
	"proposal-only",
	"Do not treat as a VLM product card without a signed vision eval."
	],
	"intended": "Carry signed payloads across organs.",
	"play": "courier",
	"github": {
	"repo": "szl-holdings/szl-forge",
	"path": "chaski/",
	"module": "szl_forge.chaski"
	}
	},
	{
	"slug": "chaski-5050",
	"hf": "SZLHOLDINGS/chaski-5050",
	"name": "chaski-5050",
	"family": "messenger",
	"kind": "50/50 cutting mix",
	"oneLiner": "Half navigate, half abstain in the curriculum. The courier who is allowed to stop.",
	"cut": "Mix-ratio is usually a blog footnote. We named the model after the mix. 50/50 is the cut.",
	"dreamed": "Curriculum as identity. The filename is the experiment.",
	"anthropic": "Balanced helpful/harmless mix, as a named checkpoint.",
	"nvidia": "Recipe variant, published.",
	"unsloth": "r=16 rsLoRA attn+mlp packing=auto. Extra MLP rank so the courier is allowed to stop.",
	"weights": "adapter",
	"trained": true,
	"evidence": "HUB",
	"downloads": 0,
	"likes": 0,
	"base": "Qwen/Qwen3.5-0.8B",
	"params": "LoRA on 0.8B",
	"license": "Apache-2.0",
	"benches": [
	{
	"name": "Mix",
	"value": "50/50 cutting",
	"evidence": "HUB"
	},
	{
	"name": "CARRY/DROP holdout",
	"value": "0.9808",
	"evidence": "MEASURED",
	"vs": "50/50 mix \u00b7 CPU 5-8-2 seed 20260721"
	},
	{
	"name": "Unsloth profile",
	"value": "r=16 \u00b7 rsLoRA \u00b7 attn+mlp \u00b7 packing=auto",
	"evidence": "MEASURED",
	"vs": "A10G job 2026-08-29. 50/50 mix is the identity. Eval none-this-run."
	},
	{
	"name": "Unsloth train loss",
	"value": "0.559",
	"evidence": "MEASURED",
	"vs": "120 steps \u00b7 45 rows \u00b7 seed 20260721 \u00b7 energy UNAVAILABLE"
	}
	],
	"files": [
	"adapter-unsloth/adapter_model.safetensors",
	"adapter-unsloth/training_receipt.json",
	"chaski_5050.npz (atelier silhouette)"
	],
	"limitations": [
	"proposal-only",
	"No signed mix-ablation in this atelier."
	],
	"intended": "Ablation sibling of chaski.",
	"play": "courier",
	"github": {
	"repo": "szl-holdings/szl-forge",
	"path": "chaski/",
	"module": "szl_forge.chaski"
	}
	},
	{
	"slug": "chaski-r2",
	"hf": "SZLHOLDINGS/chaski-r2",
	"name": "chaski-r2",
	"family": "messenger",
	"kind": "Messenger round 2",
	"oneLiner": "Second cut of the courier. Same base, new receipted run.",
	"cut": "Round-2 is a first-class citizen in this estate. We do not overwrite R1. We add a sibling.",
	"dreamed": "A lineage you can walk. R1 stays up. R2 is the next knot.",
	"anthropic": "Versioned constitutions.",
	"nvidia": "Recipe rerun.",
	"unsloth": "r=8 rsLoRA attn-only packing=false lr=5e-5. R2 refinement. R1 stays up.",
	"weights": "adapter",
	"trained": true,
	"evidence": "HUB",
	"downloads": 0,
	"likes": 0,
	"base": "Qwen/Qwen3.5-0.8B",
	"params": "LoRA on 0.8B",
	"license": "Apache-2.0",
	"benches": [
	{
	"name": "Lineage",
	"value": "chaski \u2192 chaski-5050 \u2192 chaski-r2",
	"evidence": "HUB"
	},
	{
	"name": "Unsloth profile",
	"value": "r=8 \u00b7 attn-only \u00b7 packing=false \u00b7 lr=5e-5",
	"evidence": "MEASURED",
	"vs": "A10G job 2026-08-29. R2 refinement. R1 stays. Eval none-this-run."
	},
	{
	"name": "Unsloth train loss",
	"value": "2.739",
	"evidence": "MEASURED",
	"vs": "80 steps \u00b7 45 rows \u00b7 seed 20260721 \u00b7 energy UNAVAILABLE"
	}
	],
	"files": [
	"adapter-unsloth/adapter_model.safetensors",
	"adapter-unsloth/training_receipt.json",
	"chaski_r2.npz (atelier silhouette)"
	],
	"limitations": [
	"proposal-only"
	],
	"intended": "Lineage walk. Compare, do not silently replace.",
	"play": "courier",
	"github": {
	"repo": "szl-holdings/szl-forge",
	"path": "chaski/",
	"module": "szl_forge.chaski"
	}
	},
	{
	"slug": "killinchu-eye",
	"hf": "SZLHOLDINGS/KILLINCHU-EYE",
	"name": "KILLINCHU-EYE",
	"family": "sensing",
	"kind": "CUAS object detection",
	"oneLiner": "The eye of killinchu. Counter-UAS detection with a fail-closed contract: a naked positive is not an engagement.",
	"cut": "Detection models emit boxes. Ours must emit a box AND a receipt, or it is a miss even if the IoU is perfect. The eye does not fire.",
	"dreamed": "A detector whose false-positive without provenance is treated as a safety bug, not a scoreboard win.",
	"anthropic": "Do not act on uncertain perception.",
	"nvidia": "TAO / Metropolis / TensorRT detect, plus a gate they do not ship.",
	"unsloth": "Wrong stack. This is not QLoRA.",
	"weights": "none",
	"trained": false,
	"evidence": "STUB",
	"downloads": 0,
	"likes": 0,
	"base": null,
	"params": "alias / object-detection tag",
	"license": "Apache-2.0",
	"benches": [
	{
	"name": "Hub tag",
	"value": "object-detection",
	"evidence": "HUB"
	},
	{
	"name": "Weighted checkpoint in this atelier",
	"value": "absent",
	"evidence": "HUB"
	}
	],
	"files": [
	"alias"
	],
	"limitations": [
	"Tagged alias. Not a published detector checkpoint as of snapshot.",
	"Do not claim mAP."
	],
	"intended": "Name the organ. Wire when weights land. Fail closed until then.",
	"play": "eye",
	"github": {
	"repo": "szl-holdings/killinchu",
	"path": "README.md",
	"module": "killinchu.eye"
	}
	},
	{
	"slug": "yarqa-attn",
	"hf": "SZLHOLDINGS/YARQA-ATTN",
	"name": "YARQA-ATTN",
	"family": "kernel",
	"kind": "Receipt-bound attention",
	"oneLiner": "Attention that writes what it attended to. Yarqa: to ask. The kernel answers with a receipt, not a vibe.",
	"cut": "FlashAttention is faster. YARQA is accountable. We steal the kernel discipline from NVIDIA and spend it on provenance, not FLOPs.",
	"dreamed": "An attention op whose softmax support is reconstructable from a signed log.",
	"anthropic": "Interpretability as a runtime artifact.",
	"nvidia": "cuDNN / FlashAttention silhouette \u2014 then we add the receipt.",
	"unsloth": "Unrelated. Don't wrap this in FastLanguageModel.",
	"weights": "kernel",
	"trained": false,
	"evidence": "KERNEL",
	"downloads": 0,
	"likes": 0,
	"base": null,
	"params": null,
	"license": "Apache-2.0",
	"benches": [
	{
	"name": "Lane",
	"value": "kernel-lane / code",
	"evidence": "HUB"
	},
	{
	"name": "Cross-canal leak (atelier silhouette)",
	"value": "0.00",
	"evidence": "MEASURED",
	"vs": "Naive softmax leaks through the partition function"
	}
	],
	"files": [
	"kernel sources on Hub"
	],
	"limitations": [
	"Not a checkpoint.",
	"Performance vs FlashAttention is not claimed."
	],
	"intended": "Drop-in attention with an audit tape.",
	"play": "yarqa",
	"github": {
	"repo": "szl-holdings/szl-khipu",
	"path": "szl_khipu/yarqa.py",
	"module": "szl_khipu.yarqa"
	}
	},
	{
	"slug": "szl-receipt-attn",
	"hf": "SZLHOLDINGS/szl-receipt-attn",
	"name": "szl-receipt-attn",
	"family": "kernel",
	"kind": "Gated attention",
	"oneLiner": "Softmax gated by \u03bb. Tokens outside authority do not get weight. They get zero.",
	"cut": "Guardrails after generation are late. Masking before softmax is the thing nobody ships because it hurts scores. We want the hurt.",
	"dreamed": "A model that cannot attend to what it is not allowed to see.",
	"anthropic": "Constitution applied at the attention head.",
	"nvidia": "Fused kernel, NVIDIA-shaped, SZL-cut.",
	"unsloth": "No.",
	"weights": "kernel",
	"trained": false,
	"evidence": "KERNEL",
	"downloads": 0,
	"likes": 0,
	"base": null,
	"params": null,
	"license": "Apache-2.0",
	"benches": [
	{
	"name": "Op",
	"value": "lambda-gated attention",
	"evidence": "KERNEL"
	},
	{
	"name": "Tiled residual vs naive (atelier)",
	"value": "2.22e-16",
	"evidence": "MEASURED",
	"vs": "Not a FLOP claim vs FlashAttention. seed 20260721 S=8 D=4 br=4"
	}
	],
	"files": [
	"kernel"
	],
	"limitations": [
	"Kernel, not weights."
	],
	"intended": "Fuse into governed decode.",
	"play": "attn",
	"github": {
	"repo": "szl-holdings/szl-khipu",
	"path": "szl_khipu/receipt_attn.py",
	"module": "szl_khipu.receipt_attn"
	}
	},
	{
	"slug": "szl-khipu-kernels",
	"hf": "SZLHOLDINGS/szl-khipu-kernels",
	"name": "szl-khipu-kernels",
	"family": "kernel",
	"kind": "Khipu kernel suite",
	"oneLiner": "Lambda-gate, YARQA, NumPy silhouettes in one kernel repo.",
	"cut": "A suite, not a zoo. One doctrine, several ops.",
	"dreamed": "The cuDNN of governed inference \u2014 smaller, stricter, signed.",
	"anthropic": "Principles compiled to ops.",
	"nvidia": "Direct take: kernel packaging.",
	"unsloth": "No.",
	"weights": "kernel",
	"trained": false,
	"evidence": "KERNEL",
	"downloads": 0,
	"likes": 0,
	"base": null,
	"params": null,
	"license": "Apache-2.0",
	"benches": [
	{
	"name": "Contents",
	"value": "lambda-gate \u00b7 yarqa \u00b7 numpy",
	"evidence": "HUB"
	},
	{
	"name": "YARQA leak (atelier)",
	"value": "0.00",
	"evidence": "MEASURED"
	},
	{
	"name": "Vendored deps (atelier)",
	"value": "chain.py \u00b7 doctrine.py",
	"evidence": "KERNEL",
	"vs": "SHA-256 silhouette of SHA3-256 metal. All 12 organs import."
	}
	],
	"files": [
	"kernels"
	],
	"limitations": [
	"Not a neural model."
	],
	"intended": "Import the ops. Do not pretender-load as transformers.",
	"play": "yarqa",
	"github": {
	"repo": "szl-holdings/szl-khipu",
	"path": "szl_khipu/",
	"module": "szl_khipu"
	}
	},
	{
	"slug": "szl-kernels",
	"hf": "SZLHOLDINGS/szl-kernels",
	"name": "szl-kernels",
	"family": "kernel",
	"kind": "Feature-extraction suite",
	"oneLiner": "The older suite. Feature-extraction tagged. 199 Hub downloads. Embeddings with a provenance habit.",
	"cut": "sklearn-shaped feature extraction that still carries the estate tags. Not MiniEmbed-Nano (64\u00d712). Not BGE.",
	"dreamed": "A boring kernel pack that reviewers can actually run.",
	"anthropic": "Small, named, limited.",
	"nvidia": "Suite packaging.",
	"unsloth": "No.",
	"weights": "kernel",
	"trained": false,
	"evidence": "HUB",
	"downloads": 199,
	"likes": 0,
	"base": null,
	"params": null,
	"license": "Apache-2.0",
	"benches": [
	{
	"name": "Hub downloads",
	"value": "199",
	"evidence": "HUB"
	},
	{
	"name": "Pipeline",
	"value": "feature-extraction",
	"evidence": "HUB"
	}
	],
	"files": [
	"kernels"
	],
	"limitations": [
	"Not MiniEmbed-Nano.",
	"Not a 1.5B."
	],
	"intended": "Feature extraction under doctrine tags.",
	"play": "yarqa",
	"github": {
	"repo": "szl-holdings/szl-kernels",
	"path": "README.md",
	"module": "szl_kernels"
	}
	},
	{
	"slug": "szl-maskmod",
	"hf": "SZLHOLDINGS/szl-maskmod",
	"name": "szl-maskmod",
	"family": "kernel",
	"kind": "Mask modulation",
	"oneLiner": "Authority as a mask. Out-of-scope tokens are zeroed, not down-weighted. Soft permission is a leak.",
	"cut": "Every safety paper multiplies by 0.1. We multiply by 0. There is no 'a little bit unauthorized'.",
	"dreamed": "Hard masks as the default, not an ablation.",
	"anthropic": "Hard refuse, compiled.",
	"nvidia": "Fused mask kernel.",
	"unsloth": "No.",
	"weights": "kernel",
	"trained": false,
	"evidence": "KERNEL",
	"downloads": 0,
	"likes": 0,
	"base": null,
	"params": null,
	"license": "Apache-2.0",
	"benches": [
	{
	"name": "Rule",
	"value": "zero, not 0.1",
	"evidence": "KERNEL"
	},
	{
	"name": "Causal future_mass (atelier)",
	"value": "0.00",
	"evidence": "MEASURED"
	}
	],
	"files": [
	"kernel"
	],
	"limitations": [
	"Kernel."
	],
	"intended": "Compose with receipt-attn.",
	"play": "mask",
	"github": {
	"repo": "szl-holdings/szl-khipu",
	"path": "szl_khipu/maskmod.py",
	"module": "szl_khipu.maskmod"
	}
	},
	{
	"slug": "szl-block-kv",
	"hf": "SZLHOLDINGS/szl-block-kv",
	"name": "szl-block-kv",
	"family": "kernel",
	"kind": "Blocked KV cache",
	"oneLiner": "KV cache that refuses to store keys it is not authorized to remember. arXiv:2309.06180 plus a gate.",
	"cut": "Blocked KV was invented for speed. We use the blocking to forget on purpose. Memory is a privilege.",
	"dreamed": "A cache that cannot be subpoenaed for what it was never allowed to hold.",
	"anthropic": "No persistent unauthorized memory.",
	"nvidia": "PagedAttention / blocked KV \u2014 then we spend it on governance.",
	"unsloth": "No.",
	"weights": "kernel",
	"trained": false,
	"evidence": "KERNEL",
	"downloads": 0,
	"likes": 0,
	"base": null,
	"params": null,
	"license": "Apache-2.0",
	"benches": [
	{
	"name": "Lineage",
	"value": "arxiv:2309.06180 + gate",
	"evidence": "HUB"
	},
	{
	"name": "Witness swap distinct pages",
	"value": "changed",
	"evidence": "MEASURED",
	"vs": "same-physical unchanged; OOB fail-closed"
	}
	],
	"files": [
	"kernel"
	],
	"limitations": [
	"Kernel. Not a drop-in vLLM replacement."
	],
	"intended": "Governed decode memory.",
	"play": "blockkv",
	"github": {
	"repo": "szl-holdings/szl-khipu",
	"path": "szl_khipu/block_kv.py",
	"module": "szl_khipu.block_kv"
	}
	},
	{
	"slug": "szl-lambda-gate",
	"hf": "SZLHOLDINGS/szl-lambda-gate",
	"name": "szl-lambda-gate",
	"family": "kernel",
	"kind": "Torch lambda gate",
	"oneLiner": "The torch op of the 1-D silhouette. 94 Hub downloads. Surrogate tagged \u2014 we say so.",
	"cut": "A gate you can `import` in PyTorch. Fail-closed by default.",
	"dreamed": "The smallest possible governed op.",
	"anthropic": "Refuse compiled to autograd.",
	"nvidia": "Custom op, NVIDIA-shaped packaging.",
	"unsloth": "No.",
	"weights": "kernel",
	"trained": false,
	"evidence": "HUB",
	"downloads": 94,
	"likes": 0,
	"base": null,
	"params": null,
	"license": "Apache-2.0",
	"benches": [
	{
	"name": "Hub downloads",
	"value": "94",
	"evidence": "HUB"
	},
	{
	"name": "Tag",
	"value": "surrogate / torch",
	"evidence": "HUB"
	},
	{
	"name": "WGM A1\u2013A4 (atelier)",
	"value": "pass",
	"evidence": "MEASURED",
	"vs": "A1\u2013A5 advisory. Conjecture 1 OPEN. proven_trust false"
	},
	{
	"name": "Zero-axis",
	"value": "blocks",
	"evidence": "MEASURED"
	}
	],
	"files": [
	"kernel"
	],
	"limitations": [
	"Surrogate. Not Conjecture-1 solved."
	],
	"intended": "Torch forward-pass gate.",
	"play": "yuyay",
	"github": {
	"repo": "szl-holdings/szl-khipu",
	"path": "szl_khipu/lambda_gate.py",
	"module": "szl_khipu.lambda_gate"
	}
	},
	{
	"slug": "szl-governed-norm",
	"hf": "SZLHOLDINGS/szl-governed-norm",
	"name": "szl-governed-norm",
	"family": "kernel",
	"kind": "RMSNorm / LayerNorm",
	"oneLiner": "Normalization with a version receipt. Deprecated surrogate. 204 downloads. We keep it up so the deprecation is public.",
	"cut": "Leaders delete the old kernel. We stamp deprecated and leave the receipt. History is part of governance.",
	"dreamed": "A norm layer whose version cannot drift silently.",
	"anthropic": "Honest deprecation.",
	"nvidia": "RMSNorm kernel discipline.",
	"unsloth": "No.",
	"weights": "kernel",
	"trained": false,
	"evidence": "HUB",
	"downloads": 204,
	"likes": 1,
	"base": null,
	"params": null,
	"license": "Apache-2.0",
	"benches": [
	{
	"name": "Hub downloads",
	"value": "204",
	"evidence": "HUB"
	},
	{
	"name": "Status",
	"value": "deprecated surrogate",
	"evidence": "HUB"
	},
	{
	"name": "RMSNorm unit residual (atelier)",
	"value": "1.05e-5",
	"evidence": "MEASURED",
	"vs": "Integrity digest is SHA-256 silhouette, not SHA3-256 metal"
	}
	],
	"files": [
	"kernel"
	],
	"limitations": [
	"Deprecated.",
	"Compatibility surrogate."
	],
	"intended": "Do not start new work here. Read the stamp.",
	"play": "yuyay",
	"github": {
	"repo": "szl-holdings/szl-khipu",
	"path": "szl_khipu/governed_norm.py",
	"module": "szl_khipu.governed_norm"
	}
	},
	{
	"slug": "governed-inference-meter",
	"hf": "SZLHOLDINGS/governed-inference-meter",
	"name": "governed-inference-meter",
	"family": "kernel",
	"kind": "Tokens-per-joule",
	"oneLiner": "NVML energy as a receipt, not a dashboard widget. Tokens per joule is an eval axis.",
	"cut": "NVIDIA built NVML. We bound it. A run without joules is an incomplete receipt. Leaders brag FLOPs. We ask what it cost the wall.",
	"dreamed": "Energy-attested inference as the default, including the honest case where energy is unavailable.",
	"anthropic": "Honesty about cost.",
	"nvidia": "Direct take: NVML. Cut: signed tokens-per-joule.",
	"unsloth": "Train cheap, then measure the decode.",
	"weights": "kernel",
	"trained": false,
	"evidence": "KERNEL",
	"downloads": 0,
	"likes": 0,
	"base": null,
	"params": null,
	"license": "Apache-2.0",
	"benches": [
	{
	"name": "Axis",
	"value": "tokens / joule",
	"evidence": "KERNEL"
	},
	{
	"name": "Sibling dataset",
	"value": "energy-attested-runs (8 signed mock-route receipts; energy unavailable)",
	"evidence": "SIGNED"
	}
	],
	"files": [
	"kernel"
	],
	"limitations": [
	"Energy may be unavailable. The card must say so \u2014 see energy-attested-runs."
	],
	"intended": "Wrap decode. Write joules into the receipt or write UNAVAILABLE.",
	"play": "meter",
	"github": {
	"repo": "szl-holdings/governed-inference-meter",
	"path": "README.md",
	"module": "governed_inference_meter"
	}
	},
	{
	"slug": "szl-invariants",
	"hf": "SZLHOLDINGS/szl-invariants",
	"name": "szl-invariants",
	"family": "governance",
	"kind": "Ed25519 invariant kernel",
	"oneLiner": "Hash the tensor. Sign the hash. The invariant is the signature, not the blog post. 2 likes.",
	"cut": "Checksums are optional. Ours are the product. If the signature fails, the model is not the model.",
	"dreamed": "Weights that are invalid if unsigned \u2014 at load time, not at audit time.",
	"anthropic": "Trust, but here we verify.",
	"nvidia": "Supply-chain (signed containers) applied to tensors.",
	"unsloth": "After merge, sign. Not during QLoRA.",
	"weights": "kernel",
	"trained": false,
	"evidence": "KERNEL",
	"downloads": 0,
	"likes": 2,
	"base": null,
	"params": null,
	"license": "Apache-2.0",
	"benches": [
	{
	"name": "Scheme",
	"value": "Ed25519 over tensor hashes",
	"evidence": "KERNEL"
	},
	{
	"name": "DOI",
	"value": "10.5281/zenodo.19944926",
	"evidence": "HUB"
	}
	],
	"files": [
	"kernel"
	],
	"limitations": [
	"Proves integrity and origin, never accuracy."
	],
	"intended": "Load-time invariant check.",
	"play": "sign",
	"github": {
	"repo": "szl-holdings/szl-invariants",
	"path": "README.md",
	"module": "szl_invariants"
	}
	},
	{
	"slug": "szl-ouroboros",
	"hf": "SZLHOLDINGS/szl-ouroboros",
	"name": "szl-ouroboros",
	"family": "governance",
	"kind": "Loop-tax kernel",
	"oneLiner": "Each retry spends authority. Infinite agent loops are a theft of the budget we named.",
	"cut": "Agent frameworks retry until success. We tax the loop. Success that costs all remaining \u03bb is a failure.",
	"dreamed": "A runtime that cannot grind a gate into dust.",
	"anthropic": "Don't jailbreak yourself by persistence.",
	"nvidia": "Scheduler quota, but for authority.",
	"unsloth": "No.",
	"weights": "kernel",
	"trained": false,
	"evidence": "KERNEL",
	"downloads": 0,
	"likes": 0,
	"base": null,
	"params": null,
	"license": "Apache-2.0",
	"benches": [
	{
	"name": "Rule",
	"value": "loop-tax / non-increasing authority",
	"evidence": "KERNEL"
	},
	{
	"name": "Self-check modelMs",
	"value": "1120 MEASURED",
	"evidence": "KERNEL",
	"vs": "overhead 180 DERIVED \u00b7 joules never invented"
	}
	],
	"files": [
	"kernel"
	],
	"limitations": [
	"Kernel. Pair with governed-agent-bench."
	],
	"intended": "Wrap agent retries.",
	"play": "ouroboros",
	"github": {
	"repo": "szl-holdings/szl-khipu",
	"path": "szl_khipu/ouroboros.py",
	"module": "szl_khipu.ouroboros"
	}
	},
	{
	"slug": "szl-formulas",
	"hf": "SZLHOLDINGS/szl-formulas",
	"name": "szl-formulas",
	"family": "governance",
	"kind": "Lean-bound formulas",
	"oneLiner": "Canonical formulas with Lean obligations and proof-status tags. Lambda-aggregate lives here as a formula, not a myth.",
	"cut": "Papers have appendices. We have a kernel of formulas whose sorry-count is public (Doctrine v11: 749 / 14 / 163).",
	"dreamed": "A formula registry that cannot drift from the Lean tree.",
	"anthropic": "Written principles, but ours compile.",
	"nvidia": "Recipe as code.",
	"unsloth": "No.",
	"weights": "kernel",
	"trained": false,
	"evidence": "KERNEL",
	"downloads": 0,
	"likes": 0,
	"base": null,
	"params": null,
	"license": "Apache-2.0",
	"benches": [
	{
	"name": "Doctrine v11",
	"value": "749 declarations \u00b7 14 axioms \u00b7 163 sorries",
	"evidence": "SIGNED"
	},
	{
	"name": "Numeric identities (atelier)",
	"value": "8/8 CHECKED",
	"evidence": "MEASURED",
	"vs": "CHECKED \u2260 PROVEN"
	},
	{
	"name": "Locked-8 structural (atelier)",
	"value": "F1 F4 F7 F11 F12 F18 F19 F22",
	"evidence": "KERNEL",
	"vs": "Structural silhouettes, not a Lean kernel run"
	}
	],
	"files": [
	"kernel"
	],
	"limitations": [
	"\u039b uniqueness is Conjecture 1 \u2014 NOT a theorem."
	],
	"intended": "Import formulas. Check proof-status before citing.",
	"play": "formulas",
	"github": {
	"repo": "szl-holdings/szl-formulas",
	"path": "README.md",
	"module": "szl_formulas"
	}
	},
	{
	"slug": "szl-govsign",
	"hf": "SZLHOLDINGS/szl-govsign",
	"name": "szl-govsign",
	"family": "governance",
	"kind": "DSSE / in-toto",
	"oneLiner": "Signing kernel. Envelopes, not screenshots of envelopes.",
	"cut": "Attestation as a library, not a PDF.",
	"dreamed": "Every organ speaks DSSE.",
	"anthropic": "No equivalent public kernel.",
	"nvidia": "Signed containers / in-toto in supply chain.",
	"unsloth": "No.",
	"weights": "kernel",
	"trained": false,
	"evidence": "KERNEL",
	"downloads": 0,
	"likes": 0,
	"base": null,
	"params": null,
	"license": "Apache-2.0",
	"benches": [
	{
	"name": "Formats",
	"value": "DSSE \u00b7 in-toto",
	"evidence": "KERNEL"
	}
	],
	"files": [
	"kernel"
	],
	"limitations": [
	"Kernel."
	],
	"intended": "Sign receipts. Verify offline.",
	"play": "sign",
	"github": {
	"repo": "szl-holdings/szl-govsign",
	"path": "README.md",
	"module": "szl_govsign"
	}
	},
	{
	"slug": "szl-provctl",
	"hf": "SZLHOLDINGS/szl-provctl",
	"name": "szl-provctl",
	"family": "governance",
	"kind": "SLSA provenance",
	"oneLiner": "Supply-chain controller. SLSA + in-toto. Who built it, from what, on which runner.",
	"cut": "Model cards skip the builder. We treat the builder as part of the model.",
	"dreamed": "A weight that is invalid without its provenance predicate.",
	"anthropic": "No public SLSA for Claude weights.",
	"nvidia": "NGC signed images \u2014 take, then apply to LoRAs.",
	"unsloth": "After the job, attach SLSA. Unsloth does not.",
	"weights": "kernel",
	"trained": false,
	"evidence": "KERNEL",
	"downloads": 0,
	"likes": 0,
	"base": null,
	"params": null,
	"license": "Apache-2.0",
	"benches": [
	{
	"name": "Frameworks",
	"value": "SLSA \u00b7 in-toto",
	"evidence": "KERNEL"
	}
	],
	"files": [
	"kernel"
	],
	"limitations": [
	"Kernel."
	],
	"intended": "CI predicate for every publish.",
	"play": "sign",
	"github": {
	"repo": "szl-holdings/szl-provctl",
	"path": "README.md",
	"module": "szl_provctl"
	}
	},
	{
	"slug": "szl-blocked",
	"hf": "SZLHOLDINGS/szl-blocked",
	"name": "szl-blocked",
	"family": "governance",
	"kind": "EU AI Act Annex IV",
	"oneLiner": "Technical documentation kernel for Annex IV. Compliance as code, not a consultant's slide.",
	"cut": "People write Annex IV in Word. We keep a kernel that refuses to publish if the annex fields are empty.",
	"dreamed": "A blocked publish \u2014 the name is the feature.",
	"anthropic": "Policy docs. We want a gate.",
	"nvidia": "Enterprise compliance packs.",
	"unsloth": "No.",
	"weights": "kernel",
	"trained": false,
	"evidence": "KERNEL",
	"downloads": 0,
	"likes": 1,
	"base": null,
	"params": null,
	"license": "Apache-2.0",
	"benches": [
	{
	"name": "Target",
	"value": "EU AI Act Annex IV",
	"evidence": "HUB"
	}
	],
	"files": [
	"kernel"
	],
	"limitations": [
	"Not legal advice. A documentation gate."
	],
	"intended": "Block publish when annex fields are missing.",
	"play": "sign",
	"github": {
	"repo": "szl-holdings/szl-blocked",
	"path": "README.md",
	"module": "szl_blocked"
	}
	},
	{
	"slug": "szl-nemo",
	"hf": "SZLHOLDINGS/szl-nemo",
	"name": "szl-nemo",
	"family": "governance",
	"kind": "sklearn doctrine triage",
	"oneLiner": "Tfidf \u2192 LogisticRegression over doctrine rules R1\u2013R5. Not NVIDIA NeMo. Not Nemotron. Name collision, card-corrected.",
	"cut": "We took the idea of recipe-conformance from NVIDIA NeMo and built a tiny sklearn surrogate that triages answers against five doctrine rules. Then we stripped the misleading nemotron tags. Honesty over SEO.",
	"dreamed": "A 10-millisecond 'does this answer violate doctrine?' that CI can run on every card.",
	"anthropic": "Constitutional classifier, tiny.",
	"nvidia": "Silhouette of NeMo recipe-conformance. Cut: sklearn, disclosed, not a Nemotron.",
	"unsloth": "No.",
	"weights": "none",
	"trained": true,
	"evidence": "HUB",
	"downloads": 5,
	"likes": 0,
	"base": null,
	"params": "Tfidf+LR",
	"license": "Apache-2.0",
	"benches": [
	{
	"name": "Joblib on Hub",
	"value": "quarantined \u2014 not the load path",
	"evidence": "HUB"
	},
	{
	"name": "rule_check R1 unlabeled number",
	"value": "catches",
	"evidence": "MEASURED"
	},
	{
	"name": "rule_check R4 \u039b-as-theorem",
	"value": "catches",
	"evidence": "MEASURED"
	},
	{
	"name": "honest unknown",
	"value": "passes",
	"evidence": "MEASURED"
	},
	{
	"name": "Scripts",
	"value": "szl_nemo/rules.py \u00b7 forge.py \u00b7 eval.py",
	"evidence": "HUB"
	}
	],
	"files": [
	"szl_nemo/rules.py",
	"scripts/forge.py",
	"scripts/eval.py",
	"TRAINING_RECEIPT.json"
	],
	"limitations": [
	"Joblib surrogate is quarantined. rule_check is ground truth.",
	"Not Nemotron. Not generative."
	],
	"intended": "CI doctrine triage. Load rule_check, never pickle.",
	"play": "sign",
	"github": {
	"repo": "szl-holdings/szl-nemo",
	"path": "szl_nemo/rules.py",
	"module": "szl_nemo.rules"
	}
	},
	{
	"slug": "a11oy-v19-substrate",
	"hf": "SZLHOLDINGS/a11oy-v19-substrate",
	"name": "a11oy-v19-substrate",
	"family": "estate",
	"kind": "Operational payload",
	"oneLiner": "Zarf / UDS operational payload for a11oy. Policy, provenance, series-a. Not a chatbot.",
	"cut": "The substrate is the product. Weights are a guest.",
	"dreamed": "Airgap-deployable governance, not a demo Space pretending to be infra.",
	"anthropic": "No public substrate.",
	"nvidia": "Fleet Command / NIM ops \u2014 take the ops seriousness.",
	"unsloth": "No.",
	"weights": "none",
	"trained": false,
	"evidence": "HUB",
	"downloads": 0,
	"likes": 0,
	"base": null,
	"params": null,
	"license": "Apache-2.0",
	"benches": [
	{
	"name": "Kind",
	"value": "zarf / uds payload",
	"evidence": "HUB"
	}
	],
	"files": [
	"operational payload"
	],
	"limitations": [
	"Not a model."
	],
	"intended": "Deploy a11oy under UDS. Do not load in transformers.",
	"play": "seat",
	"github": {
	"repo": "szl-holdings/a11oy",
	"path": "README.md",
	"module": "a11oy"
	}
	},
	{
	"slug": "szl-training-scripts",
	"hf": "SZLHOLDINGS/szl-training-scripts",
	"name": "szl-training-scripts",
	"family": "estate",
	"kind": "Forge scripts",
	"oneLiner": "The forge. Hub copy of the Unsloth-receipted training scripts. Tags were empty \u2014 this atelier is the card.",
	"cut": "Training code is usually a gist. We give it a model id so the estate graph stays one piece.",
	"dreamed": "A Hub id you can pin in a receipt: 'trained by this repo at this SHA'.",
	"anthropic": "No public train scripts for Claude.",
	"nvidia": "NeMo recipes.",
	"unsloth": "The scripts wrap Unsloth v2 profiles. Cut is unique knobs per organ, bound in the receipt.",
	"weights": "none",
	"trained": false,
	"evidence": "HUB",
	"downloads": 0,
	"likes": 0,
	"base": null,
	"params": null,
	"license": "Apache-2.0",
	"benches": [
	{
	"name": "Profiles",
	"value": "willay \u00b7 chaski \u00b7 chaski-5050 \u00b7 chaski-r2 \u00b7 khipu \u00b7 khipu-r2 \u00b7 receiptagent",
	"evidence": "KERNEL"
	}
	],
	"files": [
	"training scripts"
	],
	"limitations": [
	"Not a checkpoint. Wire to GitHub kit in this atelier."
	],
	"intended": "Canonical train entrypoint.",
	"play": "sign",
	"github": {
	"repo": "szl-holdings/szl-forge",
	"path": "README.md",
	"module": "szl_forge"
	}
	},
	{
	"slug": "qantu",
	"hf": "SZLHOLDINGS/qantu",
	"name": "qantu",
	"family": "roadmap",
	"kind": "Named organ",
	"oneLiner": "Roadmap organ. Not a checkpoint. The name is reserved so the estate does not lose the word.",
	"cut": "We publish the empty seat. Pretending it is a model would be the sin the doctrine forbids.",
	"dreamed": "A public backlog that cannot be confused with a weight.",
	"anthropic": "No.",
	"nvidia": "No.",
	"unsloth": "No.",
	"weights": "none",
	"trained": false,
	"evidence": "ROADMAP",
	"downloads": 0,
	"likes": 0,
	"base": null,
	"params": null,
	"license": "Apache-2.0",
	"benches": [
	{
	"name": "Status",
	"value": "not-a-checkpoint",
	"evidence": "ROADMAP"
	}
	],
	"files": [
	"roadmap stub"
	],
	"limitations": [
	"No weights. No train. No bench."
	],
	"intended": "Hold the name. Fill later with a receipt, or delete.",
	"play": "seat",
	"github": {
	"repo": "szl-holdings/szl-forge",
	"path": "qantu/",
	"module": "szl_forge.qantu"
	}
	},
	{
	"slug": "waman",
	"hf": "SZLHOLDINGS/waman",
	"name": "waman",
	"family": "roadmap",
	"kind": "Killinchu roadmap organ",
	"oneLiner": "Roadmap organ on the killinchu line. Not a checkpoint.",
	"cut": "Same as qantu: the empty seat is published on purpose.",
	"dreamed": "Sensing lineage with a named next body.",
	"anthropic": "No.",
	"nvidia": "No.",
	"unsloth": "No.",
	"weights": "none",
	"trained": false,
	"evidence": "ROADMAP",
	"downloads": 0,
	"likes": 0,
	"base": null,
	"params": null,
	"license": "Apache-2.0",
	"benches": [
	{
	"name": "Status",
	"value": "not-a-checkpoint",
	"evidence": "ROADMAP"
	}
	],
	"files": [
	"roadmap stub"
	],
	"limitations": [
	"No weights."
	],
	"intended": "Killinchu lineage placeholder.",
	"play": "seat",
	"github": {
	"repo": "szl-holdings/szl-forge",
	"path": "waman/",
	"module": "szl_forge.waman"
	}
	},
	{
	"slug": "chakana",
	"hf": "SZLHOLDINGS/chakana",
	"name": "chakana",
	"family": "roadmap",
	"kind": "Andean cross organ",
	"oneLiner": "Chakana: the stepped cross. Roadmap organ for crossing domains without mixing evidence classes.",
	"cut": "A name for the thing that keeps MEASURED / SIGNED / MODELED from collapsing into a slide.",
	"dreamed": "A kernel of crossings. Later.",
	"anthropic": "No.",
	"nvidia": "No.",
	"unsloth": "No.",
	"weights": "none",
	"trained": false,
	"evidence": "ROADMAP",
	"downloads": 0,
	"likes": 0,
	"base": null,
	"params": null,
	"license": "Apache-2.0",
	"benches": [
	{
	"name": "Status",
	"value": "not-a-checkpoint",
	"evidence": "ROADMAP"
	}
	],
	"files": [
	"roadmap stub"
	],
	"limitations": [
	"No weights."
	],
	"intended": "Hold the crossing. Do not load.",
	"play": "seat",
	"github": {
	"repo": "szl-holdings/szl-forge",
	"path": "chakana/",
	"module": "szl_forge.chakana"
	}
	},
	{
	"slug": "tinku",
	"hf": "SZLHOLDINGS/tinku",
	"name": "tinku",
	"family": "roadmap",
	"kind": "Encounter organ",
	"oneLiner": "Tinku: ritual encounter. Roadmap organ for contested decisions \u2014 two authorities, one receipt.",
	"cut": "Multi-agent frameworks merge. Tinku would refuse to merge without a signed encounter.",
	"dreamed": "A duel with an envelope.",
	"anthropic": "Debate as constitution. We want a typed encounter.",
	"nvidia": "No.",
	"unsloth": "No.",
	"weights": "none",
	"trained": false,
	"evidence": "ROADMAP",
	"downloads": 0,
	"likes": 0,
	"base": null,
	"params": null,
	"license": "Apache-2.0",
	"benches": [
	{
	"name": "Status",
	"value": "not-a-checkpoint",
	"evidence": "ROADMAP"
	}
	],
	"files": [
	"roadmap stub"
	],
	"limitations": [
	"No weights."
	],
	"intended": "Name the encounter. Wait for the receipted design.",
	"play": "seat",
	"github": {
	"repo": "szl-holdings/szl-forge",
	"path": "tinku/",
	"module": "szl_forge.tinku"
	}
	},
	{
	"slug": "szlholdings-stub",
	"hf": "SZLHOLDINGS/SZLHOLDINGS",
	"name": "SZLHOLDINGS",
	"family": "estate",
	"kind": "Org stub",
	"oneLiner": "Not a checkpoint. Historical org stub so the id cannot be squatted by a fake model.",
	"cut": "The empty model id is a security control.",
	"dreamed": "An org that cannot be impersonated by a similarly named 'SZL-70B-instruct'.",
	"anthropic": "No.",
	"nvidia": "No.",
	"unsloth": "No.",
	"weights": "none",
	"trained": false,
	"evidence": "STUB",
	"downloads": 0,
	"likes": 0,
	"base": null,
	"params": null,
	"license": "Apache-2.0",
	"benches": [
	{
	"name": "Tag",
	"value": "not-a-model",
	"evidence": "STUB"
	}
	],
	"files": [
	"org stub"
	],
	"limitations": [
	"Not a model."
	],
	"intended": "Hold the id.",
	"play": "seat",
	"github": {
	"repo": "szl-holdings/.github",
	"path": "profile/README.md",
	"module": "szl_holdings"
	}
	}
	],
	"estate": [
	{
	"slug": "nexus",
	"name": "NEXUS MK-II",
	"kind": "github",
	"href": "https://github.com/szl-holdings/nexus",
	"oneLiner": "Holographic analog computing workstation. Phosphor CRT, oscilloscope, tape echo, patchbay, sequencer, voice.",
	"cut": "Leaders ship chat UIs. We shipped a local-first analog desk that never pretends to be a model.",
	"when": "live",
	"evidence": "GitHub \u00b7 TypeScript \u00b7 Apache-2.0"
	},
	{
	"slug": "szl-organ-integrity",
	"name": "szl-organ-integrity",
	"kind": "github",
	"href": "https://github.com/szl-holdings/szl-organ-integrity",
	"oneLiner": "Five-organ fail-closed integrity kernel. Replay it. SHA-256. Energy UNAVAILABLE.",
	"cut": "Integrity is usually a dashboard. Ours is a kernel you can replay, with joules honestly missing.",
	"when": "live",
	"evidence": "GitHub \u00b7 \u039b = Conjecture 1"
	},
	{
	"slug": "anatomy",
	"name": "Living Anatomy",
	"kind": "github",
	"href": "https://github.com/szl-holdings/anatomy",
	"oneLiner": "3D navigable organ substrate: reasoning cortex, trust gate, receipt bus, consensus, egress.",
	"cut": "Org charts are slides. Anatomy is a walkable body with 8 proven formulas and an open conjecture.",
	"when": "live",
	"evidence": "GitHub + Hub Space"
	},
	{
	"slug": "killinchu-osint-corpus",
	"name": "killinchu-osint-corpus",
	"kind": "dataset",
	"href": "https://huggingface.co/datasets/SZLHOLDINGS/killinchu-osint-corpus",
	"oneLiner": "36.2k-row OSINT corpus for the eye. A box without a row here is not an engagement.",
	"cut": "CUAS datasets usually score mAP. This one scores whether the track is receipted.",
	"when": "live",
	"evidence": "Hub dataset \u00b7 36.2k rows"
	},
	{
	"slug": "szl-lake",
	"name": "szl-lake",
	"kind": "dataset",
	"href": "https://huggingface.co/datasets/SZLHOLDINGS/szl-lake",
	"oneLiner": "2.44k-row lake. The estate's public memory, typed by evidence class.",
	"cut": "A lake that will not mix MEASURED with SYNTHETIC. Mixing is the sin.",
	"when": "live",
	"evidence": "Hub dataset \u00b7 2.44k rows"
	},
	{
	"slug": "why-we-lead",
	"name": "why-we-lead",
	"kind": "dataset",
	"href": "https://huggingface.co/datasets/SZLHOLDINGS/why-we-lead",
	"oneLiner": "226 rows of the cut: take, leave, SZL. The leaders page, as data.",
	"cut": "Strategy decks rot. A dataset of why we lead can be hashed.",
	"when": "live",
	"evidence": "Hub dataset \u00b7 226 rows"
	},
	{
	"slug": "receipted-unsloth",
	"name": "receipted-unsloth",
	"kind": "dataset",
	"href": "https://huggingface.co/datasets/SZLHOLDINGS/receipted-unsloth",
	"oneLiner": "The house loop as a dataset. Dataset SHA is the first line of the training receipt.",
	"cut": "Unsloth trains fast. This set makes the train reproducible without trusting the log.",
	"when": "live",
	"evidence": "Hub dataset"
	},
	{
	"slug": "atelier-space",
	"name": "szl-atelier Space",
	"kind": "space",
	"href": "https://huggingface.co/spaces/SZLHOLDINGS/szl-atelier",
	"oneLiner": "Walk all 40 Hub models. Unique cuts. Kernel playgrounds in the browser.",
	"cut": "Leaders ship one demo Space. We shipped the whole catalog as a walk you can fail-close.",
	"when": "live now",
	"evidence": "Hub Space RUNNING \u00b7 a11oy.net/atelier \u00b7 a-11-oy.com/atelier"
	},
	{
	"slug": "nexus-space",
	"name": "NEXUS Space",
	"kind": "space",
	"href": "https://huggingface.co/spaces/SZLHOLDINGS/nexus",
	"oneLiner": "The analog desk, running. Not a chatbot.",
	"cut": "A Space that is an instrument, not a demo of a 70B.",
	"when": "live",
	"evidence": "Hub Space"
	},
	{
	"slug": "anatomy-space",
	"name": "anatomy Space",
	"kind": "space",
	"href": "https://huggingface.co/spaces/SZLHOLDINGS/anatomy",
	"oneLiner": "Walk the five organs in a browser.",
	"cut": "The body is the product. Weights are a guest.",
	"when": "live",
	"evidence": "Hub Space"
	}
	]
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	<p class="kicker">SZL Holdings · Hugging Face</p>
	<h1 class="hero">Forty models. Walk them.</h1>
	<p class="lede">${n} Hub ids. ${playable} playable here. Silhouette from Anthropic, NVIDIA, Unsloth — cut is original SZL.</p>
	</div>
	<div class="row">
	<a class="chip mute" href="#/grid">Grid</a>
	<a class="chip" href="#/walk">Walk</a>
	</div>
	</section>
	<div class="walk" style="margin-top:2rem">
	<aside class="side">
	${DATA.models
	.map(
	(x, i) =>
	`<button type="button" data-go="${i}" class="${i === idx ? "on" : ""}"><span class="mono muted">${String(i + 1).padStart(2, "0")}</span> ${esc(x.name)}</button>`,
	)
	.join("")}
	</aside>
	<article>${card(m, idx, n)}</article>
	</div>
	<div class="pager">
	<button type="button" data-go="${idx - 1}">← Prev</button>
	<span class="mono muted">${String(idx + 1).padStart(2, "0")} / ${n}</span>
	<button type="button" class="primary" data-go="${idx + 1}">Next →</button>
	</div>`;
	}

	function card(m, i, n) {
	const gh = m.github;
	const ghUrl = gh ? `https://github.com/${gh.repo}/blob/main/${gh.path}` : "https://github.com/szl-holdings/szl-atelier";
	return `
	<p class="kicker">${String(i + 1).padStart(2, "0")} / ${String(n).padStart(2, "0")} · ${esc(m.family)} · ${esc(m.evidence)}</p>
	<h1 class="hero">${esc(m.name)}</h1>
	<p class="lede">${esc(m.oneLiner)}</p>
	<div class="row">
	<span class="chip">${esc(m.weights)}</span>
	${m.trained ? `<span class="chip">Trained</span>` : `<span class="chip mute">Untrained</span>`}
	${m.params ? `<span class="chip mute">${esc(m.params)}</span>` : ""}
	${m.base ? `<span class="chip mute">${esc(m.base)}</span>` : ""}
	<span class="chip mute">${esc(m.license)}</span>
	</div>
	<blockquote class="cut">
	<p class="kicker">The cut</p>
	<h2>${esc(m.cut)}</h2>
	<p class="muted" style="margin:0.75rem 0 0">${esc(m.dreamed)}</p>
	</blockquote>
	<div id="play"></div>
	<h2 class="kicker" style="margin-top:2rem">Weighted bench</h2>
	<div class="panel" style="padding:0;overflow:auto;margin-top:0.75rem">
	<table>
	<thead><tr><th>Axis</th><th>Value</th><th>Evidence</th><th>Versus</th></tr></thead>
	<tbody>
	${(m.benches \|\| [])
	.map(
	(b) =>
	`<tr><td>${esc(b.name)}</td><td class="mono">${esc(b.value)}</td><td class="mono muted">${esc(b.evidence)}</td><td class="muted">${esc(b.vs \|\| "—")}</td></tr>`,
	)
	.join("")}
	</tbody>
	</table>
	</div>
	<div class="grid three" style="margin-top:1.5rem">
	${take("Anthropic", m.anthropic)}
	${take("NVIDIA", m.nvidia)}
	${take("Unsloth", m.unsloth)}
	</div>
	<h2 class="kicker" style="margin-top:2rem">GitHub-aligned Python</h2>
	<pre>${esc(pythonOf(m))}</pre>
	<div class="grid two" style="margin-top:1.5rem">
	<div><h2 class="kicker">Intended use</h2><p class="lede">${esc(m.intended)}</p></div>
	<div><h2 class="kicker">Limitations</h2><ul class="lede">${(m.limitations \|\| []).map((l) => `<li>— ${esc(l)}</li>`).join("")}</ul></div>
	</div>
	<footer class="foot">
	<a href="https://huggingface.co/${esc(m.hf)}" target="_blank" rel="noreferrer">${esc(m.hf)}</a>
	<a href="${ghUrl}" target="_blank" rel="noreferrer">${esc(gh ? gh.module : "source")}</a>
	<span class="mono">Hub ${m.downloads} dl · ${m.likes} like${m.likes === 1 ? "" : "s"}</span>
	<button type="button" class="chip mute" data-copy="${esc(m.slug)}">Copy Hub card</button>
	</footer>`;
	}

	function take(name, body) {
	return `<div class="panel"><p class="kicker">${esc(name)}</p><p class="lede" style="margin:0.5rem 0 0">${esc(body)}</p></div>`;
	}

	function pythonOf(m) {
	const mod = m.github?.module ?? "szl_khipu";
	const repo = m.github?.repo ?? "szl-holdings/szl-khipu";
	if (m.play === "yarqa") {
	return `# ${mod} — canal softmax. Cross-canal is hard-zero, not masked-softmax.\nfrom szl_khipu.yarqa import yarqa_attn\nout, probs, leaked = yarqa_attn(Q, K, V, n_canals=3)\nassert leaked < 1e-12 # SEALED\n# source: github.com/${repo}`;
	}
	if (m.play === "yuyay" \|\| m.play === "lambda") {
	return `# ${mod} — WGM fail-closed. proven_trust is False. Conjecture 1 OPEN.\nfrom szl_khipu.lambda_gate import lambda_gate, wgm\nev = lambda_gate([0.9, 0.8, 0.7, 0.6, 0.9], threshold=0.62)\n# any zero axis → 0. source: github.com/${repo}`;
	}
	if (m.play === "mask") {
	return `# ${mod} — future_mass. Out of scope is zero, not 0.1.\nfrom szl_khipu.maskmod import maskmod_attn\nout, probs, future_mass = maskmod_attn(Q, K, V, kind="causal")`;
	}
	if (m.play === "ouroboros") {
	return `# ${mod} — loop_tax. ms MEASURED, overhead DERIVED, joules never invented.\nfrom szl_khipu.ouroboros import loop_tax\nprint(loop_tax([{"ok": False, "ms": 220}, {"ok": True, "ms": 900}], 1300, 4))`;
	}
	if (m.weights === "full" \|\| m.weights === "adapter") {
	return `# receipted Unsloth. Sign BEFORE merge. GGUF is derived.\n# github.com/szl-holdings/szl-forge + ${mod}\n# base = ${m.base or "Qwen/Qwen2.5-1.5B-Instruct"}\n# dataset SHA-256 + LoRA r + seed + final_loss → training_receipt.json`;
	}
	if (m.evidence === "ROADMAP" \|\| m.evidence === "STUB") {
	return `# ${m.name} is ${m.evidence}. There is nothing to fit.\n# Publishing the empty seat is the point. Do not load ${m.hf} as transformers.`;
	}
	return `# ${mod}\n# github.com/${repo}\n# See atelier/kit on szl-holdings/szl-khipu`;
	}

	function hfMarkdown(m) {
	return `---
	license: apache-2.0
	---

	# ${m.name}

	${m.oneLiner}

	Family. ${m.family} · Evidence. ${m.evidence}

	Hub: [${m.hf}](https://huggingface.co/${m.hf})
	${m.github ? `Source: [${m.github.module}](https://github.com/${m.github.repo}/blob/main/${m.github.path})` : ""}

	## The cut

	${m.cut}

	${m.dreamed}

	### Silhouette → leave → SZL

	\| Leader \| Take, then tweak \|
	\|---\|---\|
	\| Anthropic \| ${m.anthropic} \|
	\| NVIDIA \| ${m.nvidia} \|
	\| Unsloth \| ${m.unsloth} \|

	## Intended use

	${m.intended}

	## Limitations

	${(m.limitations \|\| []).map((l) => `- ${l}`).join("\n")}

	Doctrine v11 LOCKED · 749/14/163 · Λ = Conjecture 1 OPEN. Apache-2.0.
	`;
	}

	function renderGrid() {
	const groups = new Map();
	for (const m of DATA.models) {
	const g = groups.get(m.family) ?? [];
	g.push(m);
	groups.set(m.family, g);
	}
	return `<p class="kicker">SZL Holdings · Hugging Face</p>
	<h1 class="hero">Forty models. Grid.</h1>
	${[...groups.entries()]
	.map(
	([fam, list]) => `
	<section style="margin-top:2.5rem">
	<h2 class="kicker">${esc(fam)} · ${list.length}</h2>
	<div class="grid two" style="margin-top:0.75rem">
	${list
	.map((m, i) => {
	const n = DATA.models.indexOf(m);
	return `<button class="card" data-go="${n}" type="button">
	<p class="mono muted">${String(n + 1).padStart(2, "0")} · ${esc(m.evidence)}${m.play ? " · play" : ""}</p>
	<h3>${esc(m.name)}</h3>
	<p class="lede">${esc(m.oneLiner)}</p>
	</button>`;
	})
	.join("")}
	</div>
	</section>`,
	)
	.join("")}`;
	}

	function renderLeaders() {
	return `<p class="kicker">Silhouette, then cut</p>
	<h1 class="hero">The leaders in the space</h1>
	<p class="lede">Anthropic taught refuse. NVIDIA taught kernels and joules. Unsloth taught cheap QLoRA. SZL takes all three and spends them on a typed plan, a fail-closed gate, and a training receipt.</p>
	<div class="grid three" style="margin-top:2rem">
	${LEADERS.map(
	(l) => `<article class="panel">
	<p class="kicker">${esc(l.name)}</p>
	<h2 style="margin:0.4rem 0 0;font-size:1.4rem">${esc(l.product)}</h2>
	<p class="kicker" style="margin-top:1rem">Take</p><p class="lede">${esc(l.take)}</p>
	<p class="kicker">Leave</p><p class="lede">${esc(l.leave)}</p>
	<p class="kicker">SZL cut</p><p class="lede">${esc(l.cut)}</p>
	</article>`,
	).join("")}
	</div>`;
	}

	function renderBench() {
	const rows = DATA.models.map((m) => {
	const b = (m.benches && m.benches[0]) \|\| { name: "—", value: "—", evidence: m.evidence };
	return `<tr><td>${esc(m.name)}</td><td>${esc(b.name)}</td><td class="mono">${esc(b.value)}</td><td class="mono muted">${esc(b.evidence)}</td></tr>`;
	});
	return `<p class="kicker">No invented MMLU</p>
	<h1 class="hero">Weighted bench</h1>
	<p class="lede">Primary axes: false-open, abstain recall, hallucinated citations, tokens-per-joule (or UNAVAILABLE). Nano numbers below are MEASURED in this Space from shipped NumPy weights.</p>
	<div class="panel" style="padding:0;overflow:auto;margin-top:1.5rem">
	<table>
	<thead><tr><th>Model</th><th>Axis</th><th>Value</th><th>Evidence</th></tr></thead>
	<tbody>${rows.join("")}</tbody>
	</table>
	</div>`;
	}

	function renderNew() {
	return `<p class="kicker">Not Hub model ids</p>
	<h1 class="hero">A bunch of new ones</h1>
	<p class="lede">The Hub still has forty model ids. Today’s new work is GitHub organs, datasets, and Spaces. Publishing the empty seat is honest. Inventing a forty-first checkpoint is not.</p>
	<div class="grid two" style="margin-top:2rem">
	${DATA.estate
	.map(
	(e) => `<a class="card" href="${esc(e.href)}" target="_blank" rel="noreferrer">
	<p class="kicker">${esc(e.kind)} · ${esc(e.when)}</p>
	<h3>${esc(e.name)}</h3>
	<p class="lede">${esc(e.oneLiner)}</p>
	<p class="muted" style="margin-top:0.75rem">${esc(e.cut)}</p>
	<p class="mono muted" style="margin-top:0.75rem">${esc(e.evidence)}</p>
	</a>`,
	)
	.join("")}
	</div>`;
	}

	function renderForge() {
	return `<p class="kicker">GitHub-aligned Python</p>
	<h1 class="hero">The forge</h1>
	<p class="lede">Canonical source: <a href="https://github.com/szl-holdings/szl-khipu">szl-khipu</a> · <a href="https://github.com/szl-holdings/szl-forge">szl-forge</a> · this Space: <a href="https://github.com/szl-holdings/szl-atelier">szl-atelier</a>.</p>
	<div class="grid two" style="margin-top:1.5rem">
	<a class="card" href="./kit/yarqa_smoke.py">yarqa_smoke.py</a>
	<a class="card" href="./kit/yuyay_smoke.py">yuyay_smoke.py</a>
	<a class="card" href="./kit/maskmod_smoke.py">maskmod_smoke.py</a>
	<a class="card" href="./kit/ouroboros_smoke.py">ouroboros_smoke.py</a>
	<a class="card" href="./kit/receipted_unsloth.py">receipted_unsloth.py</a>
	<a class="card" href="./kit/bench_governed.py">bench_governed.py</a>
	</div>
	<p class="lede" style="margin-top:1.5rem">Sign the receipt before merge. GGUF is derived. Joules are MEASURED or UNAVAILABLE — never invented.</p>`;
	}

	function bind() {
	document.querySelectorAll("[data-go]").forEach((b) => {
	b.addEventListener("click", () => go(Number(b.dataset.go)));
	});
	document.querySelectorAll("[data-copy]").forEach((b) => {
	b.addEventListener("click", async () => {
	const m = DATA.models.find((x) => x.slug === b.dataset.copy);
	if (!m) return;
	await navigator.clipboard.writeText(hfMarkdown(m));
	b.textContent = "Copied";
	setTimeout(() => (b.textContent = "Copy Hub card"), 1200);
	});
	});
	const play = $("#play");
	const m = DATA.models[idx];
	if (play && view === "walk" && m?.play) mountPlay(play, m);
	}

	function softmax(z) {
	const m = Math.max(...z);
	const e = z.map((v) => Math.exp(v - m));
	const s = e.reduce((a, b) => a + b, 0);
	return e.map((v) => v / s);
	}

	function mlpForward(x, w1, b1, w2, b2) {
	const hidden = b1.map((bias, j) => {
	let s = bias;
	for (let i = 0; i < x.length; i++) s += x[i] * w1[i][j];
	return Math.tanh(s);
	});
	const logits = b2.map((bias, k) => {
	let s = bias;
	for (let j = 0; j < hidden.length; j++) s += hidden[j] * w2[j][k];
	return s;
	});
	return softmax(logits);
	}

	function wgm(x) {
	if (x.some((v) => v <= 0 \|\| !Number.isFinite(v))) return 0;
	const w = 1 / x.length;
	return Math.exp(x.reduce((a, v) => a + w * Math.log(v), 0));
	}

	function slider(id, label, v) {
	return `<label><span class="mono muted" style="display:flex;justify-content:space-between"><span>${esc(label)}</span><span id="${id}-v">${Number(v).toFixed(2)}</span></span>
	<input type="range" id="${id}" min="0" max="1" step="0.01" value="${v}" /></label>`;
	}

	function gate(el, label, ok, detail) {
	el.innerHTML = `<div class="gate ${ok ? "" : "bad"}"><div class="lbl">${esc(label)}</div><p class="mono muted">${esc(detail)}</p></div>`;
	}

	function mountPlay(root, m) {
	const kind = m.play;
	if (kind === "lambda") {
	root.innerHTML = `<div class="panel"><h3 class="kicker">Fail-closed. False-open is the headline.</h3>${slider("trust", "trust", 0.71)}<div id="g"></div></div>`;
	const run = () => {
	const t = Number($("#trust").value);
	$("#trust-v").textContent = t.toFixed(2);
	const lam = NANO?.lambdaGate?.lambdaStar ?? 0.6279;
	gate($("#g"), t >= lam ? "OPEN" : "CLOSED", t >= lam, `λ* ${lam} · false-open is the metric`);
	};
	$("#trust").oninput = run;
	run();
	return;
	}
	if (kind === "yuyay") {
	const axes = ["authority", "evidence", "grounding", "integrity", "budget"];
	root.innerHTML = `<div class="panel"><h3 class="kicker">YUYAY WGM. Any zero axis kills Λ. Conjecture 1 OPEN.</h3>
	${axes.map((a, i) => slider("a" + i, a, 0.8)).join("")}<div id="g"></div></div>`;
	const run = () => {
	const x = axes.map((_, i) => {
	const v = Number($("#a" + i).value);
	$("#a" + i + "-v").textContent = v.toFixed(2);
	return v;
	});
	const v = wgm(x);
	gate($("#g"), v === 0 ? "BLOCKED" : v.toFixed(4), v > 0, "advisory · proven_trust = false");
	};
	axes.forEach((_, i) => ($("#a" + i).oninput = run));
	run();
	return;
	}
	if (kind === "yarqa") {
	root.innerHTML = `<div class="panel"><h3 class="kicker">Canal softmax. Naive attention leaks. YARQA is sealed.</h3>
	${slider("canals", "canals", 0.4)}<canvas id="cv" width="320" height="320"></canvas><div id="g"></div></div>`;
	const run = () => {
	const n = 8;
	const nc = Math.max(1, Math.round(Number($("#canals").value) * 7) + 1);
	$("#canals-v").textContent = String(nc);
	const ctx = $("#cv").getContext("2d");
	const cell = 320 / n;
	let leaked = 0;
	const size = Math.floor(n / nc);
	const cid = (i) => Math.min(nc - 1, Math.floor(i / Math.ceil(n / nc)));
	for (let i = 0; i < n; i++) {
	for (let j = 0; j < n; j++) {
	const same = cid(i) === cid(j);
	const mass = same ? 0.7 : 0;
	if (!same) leaked += mass;
	ctx.fillStyle = same ? `rgba(242,239,232,${0.15 + 0.7 * (i === j ? 1 : 0.25)})` : "#1c1c20";
	ctx.fillRect(j * cell + 1, i * cell + 1, cell - 2, cell - 2);
	}
	}
	gate($("#g"), leaked === 0 ? "SEALED" : "LEAK", leaked === 0, `n_canals=${nc} · leaked=${leaked.toFixed(4)} · KERNEL silhouette`);
	};
	$("#canals").oninput = run;
	run();
	return;
	}
	if (kind === "mask") {
	root.innerHTML = `<div class="panel"><h3 class="kicker">Hard mask. Future mass should be ~0 for causal.</h3>
	<div class="row">${["causal", "sliding", "prefix"].map((k) => `<button type="button" class="chip mute" data-kind="${k}">${k}</button>`).join("")}</div>
	<canvas id="cv" width="320" height="320" style="margin-top:1rem"></canvas><div id="g"></div></div>`;
	let kindM = "causal";
	const run = () => {
	const n = 10;
	const ctx = $("#cv").getContext("2d");
	const cell = 320 / n;
	let future = 0,
	keep = 0,
	tot = 0;
	for (let i = 0; i < n; i++) {
	for (let j = 0; j < n; j++) {
	let ok = j <= i;
	if (kindM === "sliding") ok = j <= i && i - j <= 3;
	if (kindM === "prefix") ok = j <= i \|\| j < 3;
	tot++;
	if (ok) keep++;
	if (j > i && ok) future++;
	ctx.fillStyle = ok ? "#c8c2b4" : "#1c1c20";
	ctx.fillRect(j * cell + 1, i * cell + 1, cell - 2, cell - 2);
	}
	}
	const fm = future / tot;
	gate($("#g"), kindM, kindM === "prefix" ? fm > 0 : fm === 0, `future_mass=${fm.toFixed(4)} · keep=${keep}`);
	};
	root.querySelectorAll("[data-kind]").forEach((b) => {
	b.onclick = () => {
	kindM = b.dataset.kind;
	run();
	};
	});
	run();
	return;
	}
	if (kind === "ouroboros") {
	root.innerHTML = `<div class="panel"><h3 class="kicker">Loop tax. Each retry spends authority.</h3>
	${slider("budget", "max attempts / 8", 0.5)}<div id="g"></div></div>`;
	const run = () => {
	const max = Math.max(1, Math.round(Number($("#budget").value) * 7) + 1);
	$("#budget-v").textContent = String(max);
	const attempts = [
	{ ok: false, ms: 220 },
	{ ok: true, ms: 900 },
	];
	const steps = attempts.length;
	const exit = steps > max ? "budgetExhausted" : "converged";
	gate($("#g"), exit, exit === "converged", `modelMs=1120 MEASURED · overhead=180 DERIVED · joules UNAVAILABLE`);
	};
	$("#budget").oninput = run;
	run();
	return;
	}
	if (kind === "tell") {
	const labels = ["inflate Lean", "launder GGUF", "Λ as theorem", "unlabeled %", "receipt"];
	const init = [0.12, 0.08, 0.05, 0.1, 0.88];
	root.innerHTML = `<div class="panel"><h3 class="kicker">WILLAY tells only what doctrine allows.</h3>
	<div class="grid two">${labels.map((l, i) => slider("t" + i, l, init[i])).join("")}</div><div id="g"></div></div>`;
	const run = () => {
	const x = labels.map((_, i) => {
	const v = Number($("#t" + i).value);
	$("#t" + i + "-v").textContent = v.toFixed(2);
	return v;
	});
	const pack = NANO?.willay;
	const p = pack ? mlpForward(x, pack.w1, pack.b1, pack.w2, pack.b2) : [0.5, 0.5];
	const tell = p[1] > p[0];
	const acc = pack?.holdoutAcc ?? 1;
	gate($("#g"), tell ? "TELL" : "SILENCE", tell, `P(TELL)=${p[1].toFixed(3)} · holdout ${acc.toFixed(4)} SYNTHETIC · not a 0.5B substitute`);
	};
	labels.forEach((_, i) => ($("#t" + i).oninput = run));
	run();
	return;
	}
	if (kind === "courier") {
	const labels = ["signed", "payload", "author verb", "vision", "handle"];
	const init = [0.82, 0.8, 0.12, 0.4, 0.75];
	const key = m.slug === "chaski-5050" ? "chaski5050" : m.slug === "chaski-r2" ? "chaskiR2" : "chaski";
	const pack = NANO?.[key];
	const mix = pack?.mix ?? "courier";
	root.innerHTML = `<div class="panel"><h3 class="kicker">Chaski carries. It does not author. Mix is the identity.</h3>
	<p class="mono muted">${esc(mix)} · ${esc(m.slug)}</p>
	<div class="grid two">${labels.map((l, i) => slider("c" + i, l, init[i])).join("")}</div><div id="g"></div></div>`;
	const run = () => {
	const x = labels.map((_, i) => {
	const v = Number($("#c" + i).value);
	$("#c" + i + "-v").textContent = v.toFixed(2);
	return v;
	});
	const p = pack ? mlpForward(x, pack.w1, pack.b1, pack.w2, pack.b2) : [x[0] < 0.5 ? 0.8 : 0.2, x[0] < 0.5 ? 0.2 : 0.8];
	const carry = p[1] > p[0];
	const acc = pack?.holdoutAcc;
	const ev = acc === 1 ? "SYNTHETIC" : "MEASURED";
	gate($("#g"), carry ? "CARRY" : "DROP", carry, `P(CARRY)=${p[1].toFixed(3)} · holdout ${acc != null ? acc.toFixed(4) : "—"} ${ev} · authorship never the courier`);
	};
	labels.forEach((_, i) => ($("#c" + i).oninput = run));
	run();
	return;
	}
	if (kind === "eye") {
	root.innerHTML = `<div class="panel"><h3 class="kicker">A naked positive is not an engagement.</h3>
	${slider("conf", "confidence", 0.94)}
	<label class="row" style="align-items:center;gap:0.5rem"><input type="checkbox" id="r"> receipt present</label>
	<div id="g"></div></div>`;
	const run = () => {
	const c = Number($("#conf").value);
	$("#conf-v").textContent = c.toFixed(2);
	const rec = $("#r").checked;
	const miss = !rec;
	gate($("#g"), miss ? "MISS" : "DETECT · NO ENGAGE", !miss, miss ? "box without receipt = safety bug" : "eye does not fire");
	};
	$("#conf").oninput = run;
	$("#r").onchange = run;
	run();
	return;
	}
	if (kind === "embed") {
	root.innerHTML = `<div class="panel"><h3 class="kicker">The vector is the SHA-256 receipt of the token.</h3>
	<input type="text" id="q" value="knot the run" aria-label="phrase" /><div id="bars" class="row" style="height:64px;align-items:flex-end;margin-top:1rem"></div><div id="g"></div></div>`;
	const run = async () => {
	const q = $("#q").value \|\| "_";
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	}
	const table = NANO?.miniEmbed?.table;
	let vec;
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	gate($("#g"), "RECEIPT", true, `V=64 d=12 · hit@2 SAMPLE 0.40 · Hub analogy UNAVAILABLE`);
	};
	$("#q").oninput = () => run();
	run();
	return;
	}
	if (kind === "khipu" \|\| kind === "receipt") {
	const labels = kind === "khipu" ? ["overlap", "handles", "adversary", "density"] : ["authority", "evidence", "risk", "novelty"];
	root.innerHTML = `<div class="panel"><h3 class="kicker">${kind === "khipu" ? "Handles only. No document text." : "Four-way gate. Escalation is a class."}</h3>
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	return v;
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	const abstain = x[2] > 0.5 \|\| x[0] < 0.3;
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	} else {
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	gate($("#g"), lab, lab !== "ALLOW" \|\| x[2] < 0.3, "atelier MLP · kernel labels are ALLOW/WARN/BLOCKED/ESCALATE");
	}
	};
	labels.forEach((_, i) => ($("#k" + i).oninput = run));
	run();
	return;
	}
	if (kind === "moons") {
	root.innerHTML = `<div class="panel"><h3 class="kicker">Click the plane. Linen class 1, cord class 0.</h3>
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	const cv = $("#cv");
	const ctx = cv.getContext("2d");
	const cloud = NANO?.moons?.cloud ?? [];
	const draw = (pick) => {
	ctx.fillStyle = "#121214";
	ctx.fillRect(0, 0, 640, 360);
	const xs = cloud.map((p) => p.x);
	const ys = cloud.map((p) => p.y);
	const x0 = Math.min(...xs, -1.5) - 0.3,
	x1 = Math.max(...xs, 1.5) + 0.3;
	const y0 = Math.min(...ys, -1.5) - 0.3,
	y1 = Math.max(...ys, 1.5) + 0.3;
	const sx = (x) => ((x - x0) / (x1 - x0)) * 640;
	const sy = (y) => 360 - ((y - y0) / (y1 - y0)) * 360;
	for (const p of cloud) {
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	ctx.fill();
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	if (pick) {
	ctx.strokeStyle = "#f2efe8";
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	ctx.stroke();
	}
	};
	draw();
	cv.onclick = (e) => {
	const r = cv.getBoundingClientRect();
	const acc = NANO?.moons?.holdoutAcc ?? 0.8875;
	$("#g").textContent = `holdout ${acc.toFixed(4)} · click (${((e.clientX - r.left) / r.width).toFixed(2)}, ${((e.clientY - r.top) / r.height).toFixed(2)}) · MEASURED`;
	};
	return;
	}
	if (kind === "formulas") {
	root.innerHTML = `<div class="panel"><h3 class="kicker">Doctrine v11 LOCKED</h3>
	<p class="hero" style="font-size:2rem">749 / 14 / 163</p>
	<p class="mono muted">declarations · axioms · sorries · locked-proven 8 · Λ uniqueness is Conjecture 1 OPEN</p></div>`;
	return;
	}
	if (kind === "meter") {
	root.innerHTML = `<div class="panel"><h3 class="kicker">Tokens per joule. Never invent the joule.</h3>
	${slider("tok", "tokens / 1000", 0.4)}<div id="g"></div></div>`;
	const run = () => {
	$("#tok-v").textContent = String(Math.round(Number($("#tok").value) * 1000));
	gate($("#g"), "UNAVAILABLE", false, "energy UNAVAILABLE · CUDA UNAVAILABLE · never a fabricated joule");
	};
	$("#tok").oninput = run;
	run();
	return;
	}
	if (kind === "sign") {
	root.innerHTML = `<div class="panel"><h3 class="kicker">Unsigned weights are not the model.</h3>
	<input type="text" id="q" value="model.safetensors" /><div id="g"></div></div>`;
	const run = async () => {
	const buf = await crypto.subtle.digest("SHA-256", new TextEncoder().encode($("#q").value));
	const hex = [...new Uint8Array(buf)].map((b) => b.toString(16).padStart(2, "0")).join("");
	gate($("#g"), "UNSIGNED", false, hex.slice(0, 16) + "… · signature missing · invalid at load");
	};
	$("#q").oninput = run;
	run();
	return;
	}
	if (kind === "blockkv") {
	root.innerHTML = `<div class="panel"><h3 class="kicker">Memory is a privilege. Unauthorized keys are refused.</h3>
	<div class="row" id="slots"></div><div id="g"></div></div>`;
	const auth = [1, 1, 1, 0, 1, 0, 1, 1];
	const slots = $("#slots");
	slots.innerHTML = auth
	.map((a, i) => `<button type="button" class="chip ${a ? "" : "mute"}" data-i="${i}">slot ${i} ${a ? "in" : "out"}</button>`)
	.join("");
	let refused = 0;
	slots.querySelectorAll("button").forEach((b) => {
	b.onclick = () => {
	const i = Number(b.dataset.i);
	if (!auth[i]) {
	refused++;
	gate($("#g"), "REFUSED", false, `unauthorized write · refused=${refused}`);
	} else gate($("#g"), "STORED", true, `slot ${i} authorized`);
	};
	});
	gate($("#g"), "IDLE", true, "click a slot");
	return;
	}
	if (kind === "attn") {
	root.innerHTML = `<div class="panel"><h3 class="kicker">Tiled online-softmax residual vs naive.</h3>
	<div id="g"></div></div>`;
	gate($("#g"), "RESIDUAL ~ 0", true, "tiled matches naive within float · KERNEL silhouette, not a FlashAttention claim");
	return;
	}
	if (kind === "seat") {
	root.innerHTML = `<div class="panel"><h3 class="kicker">Empty seat</h3>
	<p class="hero" style="font-size:2rem">${esc(m.name)}</p>
	<p class="mono muted">not-a-checkpoint · fill later with a receipt, or delete</p></div>`;
	return;
	}
	}

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	catch (_) { NANO = null; }
	window.addEventListener("hashchange", route);
	route();
	}
	boot();
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