Michael Vetter
89b5f7a646
* Elo gain and competition results:
With this release, version 5 of the NNUE neural net architecture
has been introduced, and the training data has been extended to
include Fischer random chess (FRC) positions. As a result, Elo
gains are largest for FRC, reaching up to 50 Elo for doubly
randomized FRC (DFRC). More importantly, also for standard chess
this release progressed and will win two times more game pairs than
it loses against Stockfish 15.
* New evaluation:
This release also introduces a new convention for the evaluation
that is reported by search. An evaluation of +1 is now no longer
tied to the value of one pawn, but to the likelihood of winning the
game. With a +1 evaluation, Stockfish has now a 50% chance of winning
the game against an equally strong opponent. This convention scales
down evaluations a bit compared to Stockfish 15 and allows for
consistent evaluations in the future.
- Refresh:
* date.patch
* stockfish-remove-net.patch
- Remove nn-6877cd24400e.nnue
- Add nn-ad9b42354671.nnue
OBS-URL: https://build.opensuse.org/package/show/games/stockfish?expand=0&rev=29
26 lines
1023 B
Plaintext
26 lines
1023 B
Plaintext
## Default LFS
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*.bsp filter=lfs diff=lfs merge=lfs -text
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*.bz2 filter=lfs diff=lfs merge=lfs -text
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*.gem filter=lfs diff=lfs merge=lfs -text
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*.gz filter=lfs diff=lfs merge=lfs -text
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*.jar filter=lfs diff=lfs merge=lfs -text
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*.lz filter=lfs diff=lfs merge=lfs -text
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*.lzma filter=lfs diff=lfs merge=lfs -text
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*.obscpio filter=lfs diff=lfs merge=lfs -text
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*.oxt filter=lfs diff=lfs merge=lfs -text
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*.pdf filter=lfs diff=lfs merge=lfs -text
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*.png filter=lfs diff=lfs merge=lfs -text
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*.rpm filter=lfs diff=lfs merge=lfs -text
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*.tbz filter=lfs diff=lfs merge=lfs -text
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*.tbz2 filter=lfs diff=lfs merge=lfs -text
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*.tgz filter=lfs diff=lfs merge=lfs -text
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*.ttf filter=lfs diff=lfs merge=lfs -text
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*.txz filter=lfs diff=lfs merge=lfs -text
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*.whl filter=lfs diff=lfs merge=lfs -text
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*.xz filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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## Specific LFS patterns
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nn-ad9b42354671.nnue filter=lfs diff=lfs merge=lfs -text
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