Its an XBOARD/uci engine, so those xboard files are needed. Im not use Uci protocol. Im using uci engines with polyglot under winboardGraham Banks wrote: ↑Sat Jun 20, 2026 5:02 amIt is a UCI engine, so the options will become available when loading it.
New engine releases & news H1 2026
Moderator: Ras
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Elorejano
- Posts: 161
- Joined: Sat Mar 20, 2010 3:31 am
Re: New engine releases & news H1 2026
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Gabor Szots
- Posts: 1565
- Joined: Sat Jul 21, 2018 7:43 am
- Location: Budapest, Hungary
- Full name: Gabor Szots
Re: New engine releases & news H1 2026
It requires a file named FireFlyStart.txt. The contents of that file as I use it is as follows:Elorejano wrote: ↑Sat Jun 20, 2026 8:20 pmIts an XBOARD/uci engine, so those xboard files are needed. Im not use Uci protocol. Im using uci engines with polyglot under winboardGraham Banks wrote: ↑Sat Jun 20, 2026 5:02 amIt is a UCI engine, so the options will become available when loading it.
egtbpath F:\Sakk\TB
poshash 256MB
pawnhash 16MB
*ignoreucihash
*usebitbase
Gabor Szots
CCRL testing group
CCRL testing group
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Elorejano
- Posts: 161
- Joined: Sat Mar 20, 2010 3:31 am
Re: New engine releases & news H1 2026
Thanks, Gabor.Gabor Szots wrote: ↑Sat Jun 20, 2026 8:41 pmIt requires a file named FireFlyStart.txt. The contents of that file as I use it is as follows:Elorejano wrote: ↑Sat Jun 20, 2026 8:20 pmIts an XBOARD/uci engine, so those xboard files are needed. Im not use Uci protocol. Im using uci engines with polyglot under winboardGraham Banks wrote: ↑Sat Jun 20, 2026 5:02 amIt is a UCI engine, so the options will become available when loading it.
egtbpath F:\Sakk\TB
poshash 256MB
pawnhash 16MB
*ignoreucihash
*usebitbase
And the opening book? If im remember well, FireFly use its own format
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DreamerExx
- Posts: 51
- Joined: Wed May 20, 2026 4:08 pm
- Full name: Даниил Крецу
Re: New engine releases & news H1 2026
Ember 1.1.0 has been released
. What's improved?
1. My personal NNUE (100SB) trained by me
2. A huge number of bugs have been fixed compared to 1.0.0
3. The Elo fluctuates around 2850-2950 according to my calculations (1.0.0 was approximately 2750)
Download: https://github.com/ExxDreamerCode/Ember ... tag/V1.1.0
1. My personal NNUE (100SB) trained by me
2. A huge number of bugs have been fixed compared to 1.0.0
3. The Elo fluctuates around 2850-2950 according to my calculations (1.0.0 was approximately 2750)
Download: https://github.com/ExxDreamerCode/Ember ... tag/V1.1.0
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NathanDrake
- Posts: 17
- Joined: Mon Jun 01, 2026 4:57 pm
- Full name: Francesco Torsello
Re: New engine releases & news H1 2026
Triumviratus 5.0 Released
https://github.com/Tors3/Triumviratus/releases/tag/v5.0
https://github.com/Tors3/Triumviratus/releases/tag/v5.0
- Evaluation: NNUE, SFNNv13 architecture (Full_Threats + HalfKAv2_hm, threat-aware).
- Network: Own-lineage nn-rubicon-alea-v1, trained from scratch (no Stockfish network seed) using nnue-pytorch.
- Stage 1: Stockfish 5000-node data (λ = 1.0 → 0.75).
- Stage 2: Leela self-play (λ = 0.74, fixed).
- Search: Original SPSA-tuned alpha-beta search, Lazy SMP, Syzygy tablebases.
- Strength: Approximately +50 Elo over v4.2 (internal testing, 20+0.2).
Francesco 
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cc2150dx
- Posts: 468
- Joined: Sat Nov 30, 2013 9:51 am
- Full name: Jason Coombs
Re: New engine releases & news H1 2026
PlentyChess 8.0.0
- Introduction of the new threat inputs NNUE architecture, which has since been introduced in many other top engines (including Stockfish, Reckless and others). As of late, the NNUE additionally has pawn-pair inputs
- Many speedups to make the NNUE architecture changes viable
- Greatly improved search logic, pushing the concept of fractional depth further to more heuristics
- SMP improvements: Sharing correction histories between threads and tuning under multithreaded conditions
- Proper NUMA handling on linux
- General improvements to the source code
https://github.com/Yoshie2000/PlentyChe ... g/b-v8.0.0
- Introduction of the new threat inputs NNUE architecture, which has since been introduced in many other top engines (including Stockfish, Reckless and others). As of late, the NNUE additionally has pawn-pair inputs
- Many speedups to make the NNUE architecture changes viable
- Greatly improved search logic, pushing the concept of fractional depth further to more heuristics
- SMP improvements: Sharing correction histories between threads and tuning under multithreaded conditions
- Proper NUMA handling on linux
- General improvements to the source code
https://github.com/Yoshie2000/PlentyChe ... g/b-v8.0.0