That's a big win.
Congratulations Buddy Anton
Adrian Oliva
-
Adrian Oliva
- Posts: 206
- Joined: Sat Jun 24, 2023 4:11 pm
- Has thanked: 1468 times
- Been thanked: 1220 times
Re: Adrian Oliva
Haze TR bin (OrgZ) vs. Senufo bin (Desvelemosafrica)
Processor AMD A10 – 9700 R7,10 Compute Cores 4C + 6G - 3.50 GHz - RAM 8.00 GB - 64-bit Operating System - x64 processor - Windows 10 Pro - 1024 mb hash – Fritz 16 GUI – Permanent Brain: OFF - Both Engines play with 4 threads and large pages - Opening Books: Haze TR bin vs. Senufo bin - Final Tablebases: Syzygy 3-4-5 pieces - NNUE: Stockfish PB: nn-1ceb1ade0001.nnue and nn-baff1ede1f90.nnue
Book Settings
Haze TR bin
Best Book Move OFF
Book Depth 100
Senufo bin:
Best Book Move OFF
Book Depth 40
DESKTOP-TORM2PL, Blitz 4min+1seg 0
1 SF PB 120324 Haze TR bin +4 +5/=310/-1 50.63% 160.0/316
2 SF PB 120324 Senufo bin -4 +1/=310/-5 49.37% 156.0/316
Games in PGN: https://www.mediafire.com/file/lksb0nba ... n.pgn/file
Congratulations OrgZ!
Processor AMD A10 – 9700 R7,10 Compute Cores 4C + 6G - 3.50 GHz - RAM 8.00 GB - 64-bit Operating System - x64 processor - Windows 10 Pro - 1024 mb hash – Fritz 16 GUI – Permanent Brain: OFF - Both Engines play with 4 threads and large pages - Opening Books: Haze TR bin vs. Senufo bin - Final Tablebases: Syzygy 3-4-5 pieces - NNUE: Stockfish PB: nn-1ceb1ade0001.nnue and nn-baff1ede1f90.nnue
Book Settings
Haze TR bin
Best Book Move OFF
Book Depth 100
Senufo bin:
Best Book Move OFF
Book Depth 40
DESKTOP-TORM2PL, Blitz 4min+1seg 0
1 SF PB 120324 Haze TR bin +4 +5/=310/-1 50.63% 160.0/316
2 SF PB 120324 Senufo bin -4 +1/=310/-5 49.37% 156.0/316
Games in PGN: https://www.mediafire.com/file/lksb0nba ... n.pgn/file
Congratulations OrgZ!
-
Adrian Oliva
- Posts: 206
- Joined: Sat Jun 24, 2023 4:11 pm
- Has thanked: 1468 times
- Been thanked: 1220 times
Re: Adrian Oliva
HypnoS Dev. 190324 AVX2 vs. Big-SF 200324-avx2
Processor AMD A10 – 9700 R7,10 Compute Cores 4C + 6G - 3.50 GHz - RAM 8.00 GB - 64-bit operating system - x64 processor - Windows 10 Pro - 1024 mb hash Fritz 16 GUI – Permanent Brain: OFF – Both Engines Play with 4 Threads and Large Pages - Opening Book: Perfect 2023 ctg - Final Tablebases: Syzygy 3-4-5 pieces – NNUE: nn-979b0339f40f.nnue and nn-baff1ede1f90.nnue for Both Engines - Hypnos Experience ON and Learning from 0
Book Settings:
1.Tournament ON
2.Min games 0-35
3.Variety of play 150
4.Influence of learn 100
5.Learning strength 500
DESKTOP-TORM2PL, Blitz 4min+1seg 0
1 HypnoS Dev. 190324 AVX2 +0/=320/-0 50.00% 160.0/320 -7168.00
2 Big-SF 200324-avx2 +0/=320/-0 50.00% 160.0/320 -7168.00
Games in PGN: https://www.mediafire.com/file/3q9gv6as ... 0.pgn/file
Processor AMD A10 – 9700 R7,10 Compute Cores 4C + 6G - 3.50 GHz - RAM 8.00 GB - 64-bit operating system - x64 processor - Windows 10 Pro - 1024 mb hash Fritz 16 GUI – Permanent Brain: OFF – Both Engines Play with 4 Threads and Large Pages - Opening Book: Perfect 2023 ctg - Final Tablebases: Syzygy 3-4-5 pieces – NNUE: nn-979b0339f40f.nnue and nn-baff1ede1f90.nnue for Both Engines - Hypnos Experience ON and Learning from 0
Book Settings:
1.Tournament ON
2.Min games 0-35
3.Variety of play 150
4.Influence of learn 100
5.Learning strength 500
DESKTOP-TORM2PL, Blitz 4min+1seg 0
1 HypnoS Dev. 190324 AVX2 +0/=320/-0 50.00% 160.0/320 -7168.00
2 Big-SF 200324-avx2 +0/=320/-0 50.00% 160.0/320 -7168.00
Games in PGN: https://www.mediafire.com/file/3q9gv6as ... 0.pgn/file
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Adrian Oliva
- Posts: 206
- Joined: Sat Jun 24, 2023 4:11 pm
- Has thanked: 1468 times
- Been thanked: 1220 times
Re: Adrian Oliva
OPTIMUS 2403 bin (ConRog) vs. Phoenix-1 bin (Hurnavich - The Outskirts Chess Forum User)
Processor AMD A10 – 9700 R7,10 Compute Cores 4C + 6G - 3.50 GHz - RAM 8.00 GB - 64-bit Operating System - x64 processor - Windows 10 Pro - 1024 mb hash – Fritz 16 GUI – Permanent Brain: OFF - Both Engines play with 4 threads and large pages - Opening Books: OPTIMUS 2403 bin vs. Phoenix-1 bin - Final Tablebases: Syzygy 3-4-5 pieces - NNUE: Stockfish PB: nn-1ceb1ade0001.nnue and nn-baff1ede1f90.nnue
Book Settings
OPTIMUS 2403 bin:
Best Book Move OFF
Book Depth 40
Phoenix-1 bin:
Best Book Move OFF
Book Depth 100
DESKTOP-TORM2PL, Blitz 4min+1seg 0
1 SF PB 200324 Phoenix-1 bin +0/=370/-0 50.00% 185.0/370 1457.00
2 SF PB 200324 OPTIMUS 2403 bin +0/=370/-0 50.00% 185.0/370 1457.00
Games in PGN: https://www.mediafire.com/file/knwhplnv ... n.pgn/file
Processor AMD A10 – 9700 R7,10 Compute Cores 4C + 6G - 3.50 GHz - RAM 8.00 GB - 64-bit Operating System - x64 processor - Windows 10 Pro - 1024 mb hash – Fritz 16 GUI – Permanent Brain: OFF - Both Engines play with 4 threads and large pages - Opening Books: OPTIMUS 2403 bin vs. Phoenix-1 bin - Final Tablebases: Syzygy 3-4-5 pieces - NNUE: Stockfish PB: nn-1ceb1ade0001.nnue and nn-baff1ede1f90.nnue
Book Settings
OPTIMUS 2403 bin:
Best Book Move OFF
Book Depth 40
Phoenix-1 bin:
Best Book Move OFF
Book Depth 100
DESKTOP-TORM2PL, Blitz 4min+1seg 0
1 SF PB 200324 Phoenix-1 bin +0/=370/-0 50.00% 185.0/370 1457.00
2 SF PB 200324 OPTIMUS 2403 bin +0/=370/-0 50.00% 185.0/370 1457.00
Games in PGN: https://www.mediafire.com/file/knwhplnv ... n.pgn/file
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Adrian Oliva
- Posts: 206
- Joined: Sat Jun 24, 2023 4:11 pm
- Has thanked: 1468 times
- Been thanked: 1220 times
Re: Adrian Oliva
Hazard JigSaw v5.1_avx2 vs. SF PB 220324 AVX2
Processor AMD A10 – 9700 R7,10 Compute Cores 4C + 6G - 3.50 GHz - RAM 8.00 GB - 64-bit operating system - x64 processor - Windows 10 Pro - 1024 mb hash Fritz 16 GUI – Permanent Brain: OFF – Both Engines Play with 4 Threads and Large Pages - Opening Book: Orange Suite 10 ctg
- Final Tablebases: Syzygy 3-4-5 pieces – NNUE: Hazzard: nn-979b0339f40f.nnue and nn-baff1ede1f90.nnue - Stockfish PB: nn-1ceb1ade0001.nnue and nn-baff1ede1f90.nnue
Book Settings:
1.Tournament ON
2.Min games 0-10
3.Variety of play 300
4.Influence of learn 100
5.Learning strength 500
DESKTOP-TORM2PL, Blitz 4min+1seg 0
1 SF PB 220324 AVX2 +2 +2/=434/-0 50.23% 219.0/436
2 JigSaw v5.1_avx2 -2 +0/=434/-2 49.77% 217.0/436
Games in PGN: https://www.mediafire.com/file/nvddkgvk ... 1.pgn/file
Congratulations Skynet!
Processor AMD A10 – 9700 R7,10 Compute Cores 4C + 6G - 3.50 GHz - RAM 8.00 GB - 64-bit operating system - x64 processor - Windows 10 Pro - 1024 mb hash Fritz 16 GUI – Permanent Brain: OFF – Both Engines Play with 4 Threads and Large Pages - Opening Book: Orange Suite 10 ctg
- Final Tablebases: Syzygy 3-4-5 pieces – NNUE: Hazzard: nn-979b0339f40f.nnue and nn-baff1ede1f90.nnue - Stockfish PB: nn-1ceb1ade0001.nnue and nn-baff1ede1f90.nnue
Book Settings:
1.Tournament ON
2.Min games 0-10
3.Variety of play 300
4.Influence of learn 100
5.Learning strength 500
DESKTOP-TORM2PL, Blitz 4min+1seg 0
1 SF PB 220324 AVX2 +2 +2/=434/-0 50.23% 219.0/436
2 JigSaw v5.1_avx2 -2 +0/=434/-2 49.77% 217.0/436
Games in PGN: https://www.mediafire.com/file/nvddkgvk ... 1.pgn/file
Congratulations Skynet!
-
Adrian Oliva
- Posts: 206
- Joined: Sat Jun 24, 2023 4:11 pm
- Has thanked: 1468 times
- Been thanked: 1220 times
Re: Adrian Oliva
Raid v3.5_avx2 vs. HypnoS 240324 avx2
Processor AMD A10 – 9700 R7,10 Compute Cores 4C + 6G - 3.50 GHz - RAM 8.00 GB - 64-bit operating system - x64 processor - Windows 10 Pro - 1024 mb hash Fritz 16 GUI – Permanent Brain: OFF – Both Engines Play with 4 Threads and Large Pages - Opening Book: Strongbook 240220 ECO + 6ply ctg
Final Tablebases: Syzygy 3-4-5 pieces – NNUE: Hypnos 240324: nn-1ceb1ade0001.nnue and nn-baff1ede1f90.nnue Raid v 3.5: nn-979b0339f40f.nnue and nn-baff1ede1f90.nnue - Hypnos And Raid Experience ON and Learning from 0
Book Settings:
1.Tournament ON
2.Min games 3-30
3.Variety of play 235
4.Influence of learn 0
5.Learning strength 0
DESKTOP-TORM2PL, Blitz 4min+1seg 0
1 Raid v3.5_avx2 +2 +21/=461/-18 50.30% 251.5/500
2 HypnoS 240324 avx2 -2 +18/=461/-21 49.70% 248.5/500
Games in PGN: https://www.mediafire.com/file/v560rkie ... 2.pgn/file
Congratulations OrgZ!
Thanks OrgZ for Raid v3.5!
Processor AMD A10 – 9700 R7,10 Compute Cores 4C + 6G - 3.50 GHz - RAM 8.00 GB - 64-bit operating system - x64 processor - Windows 10 Pro - 1024 mb hash Fritz 16 GUI – Permanent Brain: OFF – Both Engines Play with 4 Threads and Large Pages - Opening Book: Strongbook 240220 ECO + 6ply ctg
Final Tablebases: Syzygy 3-4-5 pieces – NNUE: Hypnos 240324: nn-1ceb1ade0001.nnue and nn-baff1ede1f90.nnue Raid v 3.5: nn-979b0339f40f.nnue and nn-baff1ede1f90.nnue - Hypnos And Raid Experience ON and Learning from 0
Book Settings:
1.Tournament ON
2.Min games 3-30
3.Variety of play 235
4.Influence of learn 0
5.Learning strength 0
DESKTOP-TORM2PL, Blitz 4min+1seg 0
1 Raid v3.5_avx2 +2 +21/=461/-18 50.30% 251.5/500
2 HypnoS 240324 avx2 -2 +18/=461/-21 49.70% 248.5/500
Games in PGN: https://www.mediafire.com/file/v560rkie ... 2.pgn/file
Congratulations OrgZ!
Thanks OrgZ for Raid v3.5!
-
Adrian Oliva
- Posts: 206
- Joined: Sat Jun 24, 2023 4:11 pm
- Has thanked: 1468 times
- Been thanked: 1220 times
Re: Adrian Oliva
Mini Private Books Tournament
SENTINEL 5 bin (ConRog)
DON bin (DON)
Haze TR bin (OrgZ)
Cunning Fox bin (Skynet)
Oscar bin (Catalano7777)
Geralt 2 bin (Hurnavich)
Gorrion bin(Biyuya)
Processor AMD A10 – 9700 R7,10 Compute Cores 4C + 6G - 3.50 GHz - RAM 8.00 GB - 64-bit Operating System - x64 processor - Windows 10 Pro - 512 mb hash – Fritz 16 GUI – Permanent Brain: OFF - All Engines play with 4 threads and large pages - Final Tablebases: Syzygy 3-4-5 pieces - NNUE: Stockfish PB: nn-1ceb1ade0001.nnue and nn-baff1ede1f90.nnue
Book Settings
SENTINEL 5 bin:
Best Book Move OFF
Book Depth 40
DON b bin:
Best Book Move OFF
Book Depth 80
Haze TR bin:
Best Book Move OFF
Book Depth 100
Cunning Fox bin:
Best Book Move OFF
Book Depth 255
Oscar bin:
Best Book Move OFF
Book Depth 255
Geralt 2 bin:
Best Book Move OFF
Book Depth 100
Gorrion bin:
Best Book Move OFF
Book Depth 40
Mini Private Books Tournament 1, Blitz 2024
1 2 3 4 5 6 7
1 SF PB 220324 DON b bin 21.0 - 24.023.0 - 22.027.0 - 18.024.0 - 21.028.0 - 17.028.0 - 17.0** 151.0/270
2 SF PB 220324 Gorrion bin 24.0 - 21.022.5 - 22.522.5 - 22.523.0 - 22.022.5 - 22.524.0 - 21.0 ** 138.5/270
3 SF PB 220324 Haze TR bin 22.0 - 23.022.5 - 22.522.5 - 22.522.5 - 22.523.0 - 22.022.5 - 21.5 ** 135.0/269
4 SF PB 220324 Cunning Fox bin 18.0 - 27.022.5 - 22.522.5 - 22.524.0 - 21.021.5 - 23.524.0 - 21.0 ** 132.5/270
5 SF PB 220324 SENTINEL 5 bin 21.0 - 24.022.0 - 23.022.5 - 22.521.0 - 24.022.5 - 22.522.5 - 22.5 ** 131.5/270
6 SF PB 220324 Geralt 2 bin 17.0 - 28.022.5 - 22.522.0 - 23.023.5 - 21.522.5 - 22.523.5 - 21.5 ** 131.0/270
7 SF PB 220324 Oscar bin 17.0 - 28.021.0 - 24.021.5 - 22.521.0 - 24.022.5 - 22.521.5 - 23.5 ** 124.5/269
Games in PGN: https://www.mediafire.com/file/338z3nb4 ... t.pgn/file
Congratulations DON!
Note: Game 313 was stopped due to an engine failure, so one more game was added to the 945 originally scheduled to complete the final table where there are 946 games.I want to thank all the participants for once again trusting me with their private books, making it possible to make this Mini Tournament the first one I have of these characteristics, so my apologies, if there is anything that could be improved, let me know.
Greetings
SENTINEL 5 bin (ConRog)
DON bin (DON)
Haze TR bin (OrgZ)
Cunning Fox bin (Skynet)
Oscar bin (Catalano7777)
Geralt 2 bin (Hurnavich)
Gorrion bin(Biyuya)
Processor AMD A10 – 9700 R7,10 Compute Cores 4C + 6G - 3.50 GHz - RAM 8.00 GB - 64-bit Operating System - x64 processor - Windows 10 Pro - 512 mb hash – Fritz 16 GUI – Permanent Brain: OFF - All Engines play with 4 threads and large pages - Final Tablebases: Syzygy 3-4-5 pieces - NNUE: Stockfish PB: nn-1ceb1ade0001.nnue and nn-baff1ede1f90.nnue
Book Settings
SENTINEL 5 bin:
Best Book Move OFF
Book Depth 40
DON b bin:
Best Book Move OFF
Book Depth 80
Haze TR bin:
Best Book Move OFF
Book Depth 100
Cunning Fox bin:
Best Book Move OFF
Book Depth 255
Oscar bin:
Best Book Move OFF
Book Depth 255
Geralt 2 bin:
Best Book Move OFF
Book Depth 100
Gorrion bin:
Best Book Move OFF
Book Depth 40
Mini Private Books Tournament 1, Blitz 2024
1 2 3 4 5 6 7
1 SF PB 220324 DON b bin 21.0 - 24.023.0 - 22.027.0 - 18.024.0 - 21.028.0 - 17.028.0 - 17.0** 151.0/270
2 SF PB 220324 Gorrion bin 24.0 - 21.022.5 - 22.522.5 - 22.523.0 - 22.022.5 - 22.524.0 - 21.0 ** 138.5/270
3 SF PB 220324 Haze TR bin 22.0 - 23.022.5 - 22.522.5 - 22.522.5 - 22.523.0 - 22.022.5 - 21.5 ** 135.0/269
4 SF PB 220324 Cunning Fox bin 18.0 - 27.022.5 - 22.522.5 - 22.524.0 - 21.021.5 - 23.524.0 - 21.0 ** 132.5/270
5 SF PB 220324 SENTINEL 5 bin 21.0 - 24.022.0 - 23.022.5 - 22.521.0 - 24.022.5 - 22.522.5 - 22.5 ** 131.5/270
6 SF PB 220324 Geralt 2 bin 17.0 - 28.022.5 - 22.522.0 - 23.023.5 - 21.522.5 - 22.523.5 - 21.5 ** 131.0/270
7 SF PB 220324 Oscar bin 17.0 - 28.021.0 - 24.021.5 - 22.521.0 - 24.022.5 - 22.521.5 - 23.5 ** 124.5/269
Games in PGN: https://www.mediafire.com/file/338z3nb4 ... t.pgn/file
Congratulations DON!
Note: Game 313 was stopped due to an engine failure, so one more game was added to the 945 originally scheduled to complete the final table where there are 946 games.I want to thank all the participants for once again trusting me with their private books, making it possible to make this Mini Tournament the first one I have of these characteristics, so my apologies, if there is anything that could be improved, let me know.
Greetings
-
Adrian Oliva
- Posts: 206
- Joined: Sat Jun 24, 2023 4:11 pm
- Has thanked: 1468 times
- Been thanked: 1220 times
Re: Adrian Oliva
Raid v3.5_avx2 vs. Brainlearn 28 AVX2
Processor AMD A10 – 9700 R7,10 Compute Cores 4C + 6G - 3.50 GHz - RAM 8.00 GB - 64-bit operating system - x64 processor - Windows 10 Pro - 1024 mb hash Fritz 16 GUI – Permanent Brain: OFF – Both Engines Play with 4 Threads and Large Pages - Opening Book: OliBiyu 10.4 Opening Suite ctg
Final Tablebases: Syzygy 3-4-5 pieces – NNUE: Brainlearn 28: nn-b1a57edbea57.nnue and nn-baff1ede1f90.nnue - Raid v 3.5: nn-979b0339f40f.nnue and nn-baff1ede1f90.nnue - Brainlearn and Raid Experience ON and Learning from 0
Book Settings:
1.Tournament ON
2.Min games 0-10
3.Variety of play 300
4.Influence of learn 100
5.Learning strength 500
DESKTOP-TORM2PL, Blitz 4min+1seg 0
1 Brainlearn 28 AVX2 +3 +10/=484/-6 50.40% 252.0/500
2 Raid v3.5_avx2 -3 +6/=484/-10 49.60% 248.0/500
Games in PGN: https://www.mediafire.com/file/53qg7lw7 ... 3.pgn/file
Congratulations Brainlearn Team!
Processor AMD A10 – 9700 R7,10 Compute Cores 4C + 6G - 3.50 GHz - RAM 8.00 GB - 64-bit operating system - x64 processor - Windows 10 Pro - 1024 mb hash Fritz 16 GUI – Permanent Brain: OFF – Both Engines Play with 4 Threads and Large Pages - Opening Book: OliBiyu 10.4 Opening Suite ctg
Final Tablebases: Syzygy 3-4-5 pieces – NNUE: Brainlearn 28: nn-b1a57edbea57.nnue and nn-baff1ede1f90.nnue - Raid v 3.5: nn-979b0339f40f.nnue and nn-baff1ede1f90.nnue - Brainlearn and Raid Experience ON and Learning from 0
Book Settings:
1.Tournament ON
2.Min games 0-10
3.Variety of play 300
4.Influence of learn 100
5.Learning strength 500
DESKTOP-TORM2PL, Blitz 4min+1seg 0
1 Brainlearn 28 AVX2 +3 +10/=484/-6 50.40% 252.0/500
2 Raid v3.5_avx2 -3 +6/=484/-10 49.60% 248.0/500
Games in PGN: https://www.mediafire.com/file/53qg7lw7 ... 3.pgn/file
Congratulations Brainlearn Team!
-
Adrian Oliva
- Posts: 206
- Joined: Sat Jun 24, 2023 4:11 pm
- Has thanked: 1468 times
- Been thanked: 1220 times
Re: Adrian Oliva
SF PB 220324 AVX2 vs. Marauders 3.1_avx2
Processor AMD A10 – 9700 R7,10 Compute Cores 4C + 6G - 3.50 GHz - RAM 8.00 GB - 64-bit operating system - x64 processor - Windows 10 Pro - 1024 mb hash Fritz 16 GUI – Permanent Brain: OFF – Both Engines Play with 4 Threads and Large Pages - Opening Book: Mercurio 2 Opening Suite 8 ctg
Final Tablebases: Syzygy 3-4-5 pieces – NNUE: Marauders 3.1: nn-ae6a388e4a1a.nnue and nn-baff1ede1f90.nnue - Stockfish PB: nn-1ceb1ade0001.nnue and nn-baff1ede1f90.nnue
Book Settings:
1.Tournament ON
2.Min games 0-8
3.Variety of play 300
4.Influence of learn 100
5.Learning strength 500
DESKTOP-TORM2PL, Blitz 4min+1seg 0
1 Marauders 3.1_avx2 +1 +6/=489/-5 50.10% 250.5/500
2 SF PB 220324 AVX2 -1 +5/=489/-6 49.90% 249.5/500
Games in PGN: https://www.mediafire.com/file/h8rlfb5o ... 4.pgn/file
Congratulations OrgZ!
Processor AMD A10 – 9700 R7,10 Compute Cores 4C + 6G - 3.50 GHz - RAM 8.00 GB - 64-bit operating system - x64 processor - Windows 10 Pro - 1024 mb hash Fritz 16 GUI – Permanent Brain: OFF – Both Engines Play with 4 Threads and Large Pages - Opening Book: Mercurio 2 Opening Suite 8 ctg
Final Tablebases: Syzygy 3-4-5 pieces – NNUE: Marauders 3.1: nn-ae6a388e4a1a.nnue and nn-baff1ede1f90.nnue - Stockfish PB: nn-1ceb1ade0001.nnue and nn-baff1ede1f90.nnue
Book Settings:
1.Tournament ON
2.Min games 0-8
3.Variety of play 300
4.Influence of learn 100
5.Learning strength 500
DESKTOP-TORM2PL, Blitz 4min+1seg 0
1 Marauders 3.1_avx2 +1 +6/=489/-5 50.10% 250.5/500
2 SF PB 220324 AVX2 -1 +5/=489/-6 49.90% 249.5/500
Games in PGN: https://www.mediafire.com/file/h8rlfb5o ... 4.pgn/file
Congratulations OrgZ!
-
Adrian Oliva
- Posts: 206
- Joined: Sat Jun 24, 2023 4:11 pm
- Has thanked: 1468 times
- Been thanked: 1220 times
Re: Adrian Oliva
Raid v3.6 TR_avx2 vs. Brainlearn 28 AVX2
Processor AMD A10 – 9700 R7,10 Compute Cores 4C + 6G - 3.50 GHz - RAM 8.00 GB - 64-bit operating system - x64 processor - Windows 10 Pro - 1024 mb hash Fritz 16 GUI – Permanent Brain: OFF – Both Engines Play with 4 Threads and Large Pages - Opening Book: Perfect 2023 ctg
Final Tablebases: Syzygy 3-4-5 pieces – NNUE: Brainlearn 28: nn-b1a57edbea57.nnue and nn-baff1ede1f90.nnue - Raid v3.6 TR_avx2: TacticaL.evL and RetreaT.evL - Brainlearn and Raid Experience ON and Learning from 0
Book Settings:
1.Tournament ON
2.Min games 0-35
3.Variety of play 150
4.Influence of learn 100
5.Learning strength 500
DESKTOP-TORM2PL, Blitz 4min+1seg 0
1 Raid v3.6 TR_avx2 +0/=500/-0 50.00% 250.0/500 -3036.00
2 Brainlearn 28 AVX2 +0/=500/-0 50.00% 250.0/500 -3036.00
Games in PGN: https://www.mediafire.com/file/h3j1zpl3 ... 5.pgn/file
Processor AMD A10 – 9700 R7,10 Compute Cores 4C + 6G - 3.50 GHz - RAM 8.00 GB - 64-bit operating system - x64 processor - Windows 10 Pro - 1024 mb hash Fritz 16 GUI – Permanent Brain: OFF – Both Engines Play with 4 Threads and Large Pages - Opening Book: Perfect 2023 ctg
Final Tablebases: Syzygy 3-4-5 pieces – NNUE: Brainlearn 28: nn-b1a57edbea57.nnue and nn-baff1ede1f90.nnue - Raid v3.6 TR_avx2: TacticaL.evL and RetreaT.evL - Brainlearn and Raid Experience ON and Learning from 0
Book Settings:
1.Tournament ON
2.Min games 0-35
3.Variety of play 150
4.Influence of learn 100
5.Learning strength 500
DESKTOP-TORM2PL, Blitz 4min+1seg 0
1 Raid v3.6 TR_avx2 +0/=500/-0 50.00% 250.0/500 -3036.00
2 Brainlearn 28 AVX2 +0/=500/-0 50.00% 250.0/500 -3036.00
Games in PGN: https://www.mediafire.com/file/h3j1zpl3 ... 5.pgn/file