Instructions to use SZLHOLDINGS/szl-ouroboros with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Kernels
How to use SZLHOLDINGS/szl-ouroboros with Kernels:
# !pip install kernels from kernels import get_kernel kernel = get_kernel("SZLHOLDINGS/szl-ouroboros") - Notebooks
- Google Colab
- Kaggle
code(atelier): ouroboros.py from szl-khipu — not a 1.5B retrain
Browse files- ouroboros.py +70 -0
ouroboros.py
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# SPDX-License-Identifier: Apache-2.0
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# Copyright 2026 SZL Holdings
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"""Loop tax: MEASURED attempt times vs DERIVED overhead. Never fabricate joules."""
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from __future__ import annotations
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from typing import Any, Mapping, Sequence
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Attempt = Mapping[str, Any]
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def loop_tax(
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attempts: Sequence[Attempt],
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wall_ms: float | None,
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max_budget: int,
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) -> dict[str, Any]:
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"""Self-check arithmetic from szl-ouroboros.
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attempts [220 fail, 900 ok], wall=1300 →
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modelMs=1120, peak=900, overhead=180, serializationTax=220, deadHop=220.
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"""
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model_ms = float(sum(float(a["ms"]) for a in attempts))
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peak = float(max((float(a["ms"]) for a in attempts), default=0.0))
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if wall_ms is None:
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overhead: float | None = None
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overhead_label = "UNAVAILABLE"
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else:
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overhead = max(0.0, float(wall_ms) - model_ms)
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overhead_label = "DERIVED"
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serialization_tax = max(0.0, model_ms - peak)
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dead_hop = 0.0
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for a in attempts:
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if bool(a["ok"]):
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break
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dead_hop += float(a["ms"])
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steps = len(attempts)
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within = steps <= int(max_budget)
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any_ok = any(bool(a["ok"]) for a in attempts)
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if not within:
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exit_kind = "budgetExhausted"
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elif any_ok:
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exit_kind = "converged"
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else:
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exit_kind = "aborted"
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return {
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"modelMs": model_ms,
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"peakAttemptMs": peak,
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"overheadMs": overhead,
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"serializationTaxMs": serialization_tax,
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"deadHopMs": dead_hop,
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"withinBudget": within,
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"exit": exit_kind,
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"honesty": {
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"modelMs": "MEASURED",
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"peakAttemptMs": "MEASURED",
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"overheadMs": overhead_label,
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"serializationTaxMs": "DERIVED",
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"deadHopMs": "DERIVED",
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},
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}
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OUROBOROS_SELFCHECK: dict[str, Any] = loop_tax(
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[
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{"ok": False, "ms": 220},
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{"ok": True, "ms": 900},
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],
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1300,
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4,
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)
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