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tony_nnue

by Çetin cturan/tony_nnue

The data here seems good enough on its own to train a pretty strong NNUE. In my own tests it did a good job of pulling draws out of Stockfish:P To keep costs down, it was relabeled with t1-256x10-rl-base-swa-3860000, and most of the self-play games were also…

Rows—
Configurations—
Size110.4 GB
Licenseodc-by
AccessPublicly accessible
Monthly Downloads94

Dataset Card

By Çetin, published under odc-by, revision 70fe4e72bec0.

The data here seems good enough on its own to train a pretty strong NNUE. In my own tests it did a good job of pulling draws out of Stockfish :P To keep costs down, it was relabeled with t1-256x10-rl-base-swa-3860000, and most of the self-play games were also generated with that same model, in a single pass with a bit of temperature. Bigger lc0 models would be far more effective, but this one hit around 660k/s on 8× 5090s, which made it cheap, so that's what I went with.

Details

Repository
cturan/tony_nnue
Publisher
Çetin
Task category
Not stated by the source
Tags
chess, nnue
Size category
Not stated by the source
Languages
Not stated by the source
Revision
70fe4e72bec0dc035d2f3e00e9e693b8ab785829
Last updated
2026-10-07

Files

24 files, 110.4 GB in total.

Data5 files · 3.5 KB
Documentation1 file · 522 B
Other17 files · 110.4 GB
Repository1 file · 3.9 KB
Every file
FileTypeSizeSHA-256
selfplay-lc0-2026-09-26-7.8b.manifest.jsonData1.1 KB—
selfplay-lc0-2026-09-26-b-2.1b.manifest.jsonData535 B—
selfplay-lc0-2026-09-26-c-14.1b.manifest.jsonData533 B—
selfplay-lc0-2026-09-26-d-0.9b.manifest.jsonData491 B—
tonyukuk-selfplay-5000n-lc0-2026-09-26-50m.manifest.jsonData908 B—
README.mdDocumentation522 B—
selfplay-lc0-2026-09-26-7.8b.binpackOther21.4 GB8d2bcfd3dafc
selfplay-lc0-2026-09-26-b-2.1b.binpackOther5.8 GBf0b3f505b6a1
selfplay-lc0-2026-09-26-c-14.1b.binpackOther38.4 GBbc7e00e4d31b
selfplay-lc0-2026-09-26-d-0.9b.binpackOther2.5 GBfff88c5f1069
selfplay-lc0.binpackOther11.5 GBa43c4c9d3262
selfplay-tony-20k/m1_tur_20261007_0113.binpackOther39.7 MB1d6eb4ea715e
selfplay-tony-20k/m1_tur_20261007_0144.binpackOther39.7 MB1372f255534d
selfplay-tony-20k/m1_tur_20261007_0214.binpackOther39.6 MBfdb247b5f70c
selfplay-tony-20k/m1_tur_20261007_0244.binpackOther39.7 MBb72379c2a4b9
selfplay-tony-20k/m1_tur_20261007_0314.binpackOther39.7 MBd224c3ec353e
selfplay-tony-20k/m2_tur_20261007_0122.binpackOther39.5 MBbb2d26b18d5f
selfplay-tony-20k/m2_tur_20261007_0152.binpackOther39.4 MB63af0c0eadeb
selfplay-tony-20k/m2_tur_20261007_0223.binpackOther39.4 MBbe233124065e
selfplay-tony-20k/m2_tur_20261007_0253.binpackOther39.4 MB68b743850a1a
selfplay-tony-20k/tur_20261007_0107.binpackOther8.9 MB9112e5e29cc0
tonyukuk-selfplay-5000n-lc0-2026-09-26-50m.binpackOther131.1 MB01592bdf1343
tonyukuk-sf-5000n-lc0-relabel.binpackOther30.2 GB0449b4a886bd
.gitattributesRepository3.9 KB—

License and Download

License
odc-by
Access
No access gate
Download from Çetin

Released by Çetin through its official repository on Hugging Face.