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humanfy/Holdem-Solver-Artifacts
Holdem-Solver-Artifacts is a machine learning model from humanfy. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This is the large-artifact companion repository for humanfy/HoldemSolver.
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Updated Sep 28, 2026
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From the Hugging Face model README
This is the large-artifact companion repository for
humanfy/Holdem_Solver.
It stores content-addressed recovery snapshots and accepted large releases. Source code, tests, requirements, architecture, and operational documentation remain authoritative in GitHub.
The current training-handoffs/holdem-v1 content is recovery state captured
from an unfinished solver run. It is not a claim that every continuation job
converged and it is not a complete GTO release.
Current stable recovery snapshot:
d7bb6c3863ce-dd329759e9e8773f;d7bb6c3863ce4c238b6ae23c918a6a5519441274;dd329759e9e8773fafbe95758d13bfbcb57c82bc0a45d659cb93f607c6dae557;Latest shutdown recovery snapshot:
d7bb6c3863ce-0a773475a14615d4;0a773475a14615d4fd07e0885ff95666b39919656182507d747f9dc65a73113d;The latest snapshot and stable fallback are retained. Nine intermediate
recovery points have been retired; see
manifests/retirements/2026-09-29-intermediate-snapshots.md.
Their exclusive objects must not be used as recovery dependencies. The retained
snapshots include complete object inventories even though their capture history
records an incremental base.
Every snapshot contains:
manifests/ Repository-level indexes
latest.json Most recently published recovery boundary
final.json Terminal all-jobs-complete receipt
job-boundaries/<snapshot-id>.json Job boundary receipts
shutdowns/<snapshot-id>.json Retained shutdown receipts
retirements/ Retired recovery-point records
training-handoffs/holdem-v1/
objects/ Shared immutable compressed objects
snapshots/<snapshot-id>/ Immutable manifest and restore metadata
releases/ Accepted solver release artifacts only
tables/ Large published table bundles
Objects are shared across snapshots. A newer snapshot uploads only content not already present in this repository.
Routine job-boundary snapshots use metadata and size checks for unchanged objects and verify remote size plus LFS SHA-256 for key checkpoints. Stable and final acceptance snapshots retain full local decompression verification.
Do not treat a training handoff as an accepted strategy release. Release claims and their acceptance evidence are defined by the bound GitHub revision.