To see if you are eligible for the intermediate or full unrestricted license, visit https://eligibility.gdl.kytc.ky.gov. State Traffic School. In light of the Governor's recent red zone reduction recommendation, the Division of Driver Licensing is halting all in-person state traffic school and graduated license courses effective November 9,2020.Kentuckians may continue to complete the programs via online learning or instructor-led virtual learning. The Division of Driver Licensing will migrate classes. This site is to be used by teen drivers in the Graduated Licensing program to check on their date of eligibility for taking the driving test or to receive the full license. Enter the information below exactly as it appears on your Kentucky permit. See the Graduated Driver Licensing page for more details about the process. Those permit drivers. Eligibility.gdl.kytc.ky.gov. Kentucky teens that are at least 16 years old and have their learner's permit can now take the GLP Course which is required to obtain their unrestricted KY driver's license. This course prepares new drivers for the road ahead by going over safety and awareness practices.
The strongest 20b nets are the Leelenstein ones listed above but these aren't trained purely on Lc0 data. The best 20b net trained only on Lc0 data is 256x20-t40-1541.pb.gz from Sergio Vieri's repository. Computer Chess Battles 1: Computer Chess Battles 2: Computer Chess Battles 3: https://youtu.be/77Nr. Rybka is a UCI chess engine programmed by International Master Vasik Rajlich. Rybka is the chess engine being used for analysis by most top grandmasters. Garry Kasparov on Rybka: 'Rybka is a phenomenal improvement.(.)Rybka is really good. Chess engine: Leelenstein 925. November 30, 2019 Leelenstein is a neural-network engine based on Lc0. Hardware Backend; Newest (2018+) NVidia GPUs: GTX 16xx, RTX 20xx, RTX 30xx and so on: CUDA: Newer (2014-2018) NVidia GPUs: GTX 7xx, GTX 8xx, GTX 9xx, GTX 10xx.
- Leelenstein Chess
- Leelenstein 11.1 Chess Engine
- Leelenstein Chess Engines
- Leelenstein Chess Engine Download For Android
- Leelenstein Chess Download
- Leelenstein 11.1 Chess Engine Download
There is no single 'best net' for Leela but there a few worth recommending for various purposes.
The most important consideration in choosing a net is picking the right size for your hardware and time controls. In general, if you have a weak GPU or no GPU and want to only spend milliseconds per move, then you want a smaller net that evaluates positions more quickly, i.e. higher NPS (nodes per second). On the other hand, if you have an RTX card(s) and you want to run analysis from a position hours at a time, then the quality of the evaluation is more important than the speed, and a larger (but slower) net is probably going to work best.
Size versus Recommended Purpose
- 30b: Recommended for multi-GPU (RTX), long analysis, or when speed isn't a major factor
- 24b: Recommended for TC > 1 minute per move with an RTX card
- 20b: Recommended for running on non-RTX cards or TC on the order of seconds (with RTX)
- 10b: Recommended for running on CPU
- <10b: Recommended for sparring vs humans
Leelenstein Chess
Network Lists
In each section, the nets are listed (roughly) in descending order of strength. (Some may be too close to tell apart).
30 blocks x 384 filters:
Name | Source for Download | Notes |
---|---|---|
Latest J94 net | GitHub: jhorthos Leela Training | Based on Sergio-V networks, trained on T60 data |
Latest 30b SV net | Sergio-V repository | Trained on T60 data |
SV-3972+jio-20k | data.lczero.org direct download | Submitted for TCEC 18 Superfinal |
384x30-t60-3010 | Sergio-V repository | Won CCC13 and TCEC 17 |
384x30-t40-1705 | Sergio-V repository | Trained on T40 data |
24 blocks x 320 filters:
Name | Source for Download | Notes |
---|---|---|
Latest T60 | lczero.org run 1 networks | Current main run |
J13B.2-136 | GitHub: jhorthos Leela Training | 'Terminator 2' Net |
20 blocks x 256 filters:
Name | Source for Download | Notes |
---|---|---|
Leelenstein 15.0 | Patreon: jjosh | Early Access (Patrons only) |
Leelenstein 14.3 | 14.3 Post | No account required, to be used with LC0 v0.24.1 |
Leelenstein 14.0 | 14.0 Post | No account required |
SV-20b-t40-1541 | Sergio-V repository | Trained on T40 data |
42850 | training.lczero.org direct download | Last T40 net |
10 blocks x 128 filters:
Name | Source for Download | Notes |
---|---|---|
Latest 10b SV net | Sergio-V repository | Trained on T60 data |
703810 | training.lczero.org direct download | Last T70 net (not to be confused with T72) |
591226 | training.lczero.org direct download | Last T59 net |
Little Demon 2 | data.lczero.org repository (LD2) | JH nets also here |
Asorted sizes:
Size | Name | Source for Download | Notes |
---|---|---|---|
19b x 256f | T71.5-FR960-Armageddon-Chess | lczero.org run 3 networks | Trained from scratch on Fischer Random Armageddon Chess |
16b x 192f | J64-210 | GitHub: jhorthos Leela Training | Trained on T60 data |
16b x 192f | J20-460 | GitHub: jhorthos Leela Training | Trained on T40 data |
9b x 112f | ID11258-112x9-se | GitHub: dkappe Distilled Networks | Other sizes also here |
5b x 48f | Good Gyal 5 | GitHub: dkappe Bad Gyal | Other sizes also here |
2b x 16f | Tiny Gyal | GitHub: dkappe Bad Gyal | Other sizes also here |
Note: The Sergio-V nets are also available on data.lczero.org in some cases.
'This is all too complicated. Just tell me what net to use!'
If you don't care about squeezing out the very best performance for a particular situation and want a general-purpose net, pick a medium size 20b net, which should do reasonably well (if not optimally) under most common conditions. Dj ngamla ekse majita.
The strongest 20b nets are the Leelenstein ones listed above but these aren't trained purely on Lc0 data. The best 20b net trained only on Lc0 data is 256x20-t40-1541.pb.gz
from Sergio Vieri's repository.
If this page hasn't been updated recently, check the Discord channels for a recommendation. Be sure to specify your hardware and use case so the helpful regulars know what to recommend.
The latest stable version of Lc0 is v0.26.3.
Older versions and beta releases are available at our GitHub releases page.
Windows
Every package contains:
- lc0.exe (the engine),
- 703350.pb.gz (a default network file), and
- lc0-training-client.exe (only needed if you would like to contribute training games).
Depending on which hardware you have, different version of Lc0 will be best for you.
Pick the row that matches your hardware from the following table:
Hardware | Backend |
---|---|
Newest (2018+) NVidia GPUs: GTX 16xx, RTX 20xx, RTX 30xx and so on | CUDA |
Newer (2014-2018) NVidia GPUs: GTX 7xx, GTX 8xx, GTX 9xx, GTX 10xx | CUDNN |
Newer non-NVidia GPUs (only for latest versions of Windows 10) | DirectX 12 |
Older GPUs or Windows versions | OpenCL |
Computers without GPUs, but with modern CPUs | DNNL BLAS |
Older CPUs | OpenBLAS |
MacOS
You can install Lc0 using Homebrew.
The Homebrew package includes the lc0 engine and network 42850.
Leelenstein 11.1 Chess Engine
Android
Leelenstein Chess Engines
Architecture | Backend |
---|---|
All architectures | BLAS |
Leelenstein Chess Engine Download For Android
Building from sources (Linux, Windows and MacOS)
Leelenstein Chess Download
Leelenstein Chess
Network Lists
In each section, the nets are listed (roughly) in descending order of strength. (Some may be too close to tell apart).
30 blocks x 384 filters:
Name | Source for Download | Notes |
---|---|---|
Latest J94 net | GitHub: jhorthos Leela Training | Based on Sergio-V networks, trained on T60 data |
Latest 30b SV net | Sergio-V repository | Trained on T60 data |
SV-3972+jio-20k | data.lczero.org direct download | Submitted for TCEC 18 Superfinal |
384x30-t60-3010 | Sergio-V repository | Won CCC13 and TCEC 17 |
384x30-t40-1705 | Sergio-V repository | Trained on T40 data |
24 blocks x 320 filters:
Name | Source for Download | Notes |
---|---|---|
Latest T60 | lczero.org run 1 networks | Current main run |
J13B.2-136 | GitHub: jhorthos Leela Training | 'Terminator 2' Net |
20 blocks x 256 filters:
Name | Source for Download | Notes |
---|---|---|
Leelenstein 15.0 | Patreon: jjosh | Early Access (Patrons only) |
Leelenstein 14.3 | 14.3 Post | No account required, to be used with LC0 v0.24.1 |
Leelenstein 14.0 | 14.0 Post | No account required |
SV-20b-t40-1541 | Sergio-V repository | Trained on T40 data |
42850 | training.lczero.org direct download | Last T40 net |
10 blocks x 128 filters:
Name | Source for Download | Notes |
---|---|---|
Latest 10b SV net | Sergio-V repository | Trained on T60 data |
703810 | training.lczero.org direct download | Last T70 net (not to be confused with T72) |
591226 | training.lczero.org direct download | Last T59 net |
Little Demon 2 | data.lczero.org repository (LD2) | JH nets also here |
Asorted sizes:
Size | Name | Source for Download | Notes |
---|---|---|---|
19b x 256f | T71.5-FR960-Armageddon-Chess | lczero.org run 3 networks | Trained from scratch on Fischer Random Armageddon Chess |
16b x 192f | J64-210 | GitHub: jhorthos Leela Training | Trained on T60 data |
16b x 192f | J20-460 | GitHub: jhorthos Leela Training | Trained on T40 data |
9b x 112f | ID11258-112x9-se | GitHub: dkappe Distilled Networks | Other sizes also here |
5b x 48f | Good Gyal 5 | GitHub: dkappe Bad Gyal | Other sizes also here |
2b x 16f | Tiny Gyal | GitHub: dkappe Bad Gyal | Other sizes also here |
Note: The Sergio-V nets are also available on data.lczero.org in some cases.
'This is all too complicated. Just tell me what net to use!'
If you don't care about squeezing out the very best performance for a particular situation and want a general-purpose net, pick a medium size 20b net, which should do reasonably well (if not optimally) under most common conditions. Dj ngamla ekse majita.
The strongest 20b nets are the Leelenstein ones listed above but these aren't trained purely on Lc0 data. The best 20b net trained only on Lc0 data is 256x20-t40-1541.pb.gz
from Sergio Vieri's repository.
If this page hasn't been updated recently, check the Discord channels for a recommendation. Be sure to specify your hardware and use case so the helpful regulars know what to recommend.
The latest stable version of Lc0 is v0.26.3.
Older versions and beta releases are available at our GitHub releases page.
Windows
Every package contains:
- lc0.exe (the engine),
- 703350.pb.gz (a default network file), and
- lc0-training-client.exe (only needed if you would like to contribute training games).
Depending on which hardware you have, different version of Lc0 will be best for you.
Pick the row that matches your hardware from the following table:
Hardware | Backend |
---|---|
Newest (2018+) NVidia GPUs: GTX 16xx, RTX 20xx, RTX 30xx and so on | CUDA |
Newer (2014-2018) NVidia GPUs: GTX 7xx, GTX 8xx, GTX 9xx, GTX 10xx | CUDNN |
Newer non-NVidia GPUs (only for latest versions of Windows 10) | DirectX 12 |
Older GPUs or Windows versions | OpenCL |
Computers without GPUs, but with modern CPUs | DNNL BLAS |
Older CPUs | OpenBLAS |
MacOS
You can install Lc0 using Homebrew.
The Homebrew package includes the lc0 engine and network 42850.
Leelenstein 11.1 Chess Engine
Android
Leelenstein Chess Engines
Architecture | Backend |
---|---|
All architectures | BLAS |
Leelenstein Chess Engine Download For Android
Building from sources (Linux, Windows and MacOS)
Leelenstein Chess Download
Leelenstein 11.1 Chess Engine Download
If you want to build the Lc0 from source, refer to this document. Faceniff full apk.