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Best Nets for Lc0

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.


“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, stick with the network included in the official release (T75 or T74), which should do reasonably well (if not optimally) under most common conditions.


  • 40b: Experimental nets are currently being trained, network page will be updated once 40b nets are at least equal to 30b under time control.
  • 30b: Recommended for RTX cards (any time control), GTX cards (analysis, long time control)
  • 24b/20b: [no recent strong nets available] Recommended for GTX cards (short time control)
  • 16/15b: Recommended for running on CPU (analysis, long time control), GTX cards (short time control)
  • 10b: Recommended for running on CPU (short time control, long time control)
  • <10b: Recommended for sparring vs humans

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 T60 after 606512 lczero.org run 1 networks Current main run
hanse-69722-vf2 Contributed networks on Lc0 data Trained from 609722 on T60 data, value focus emphasizes positions with eval discrepancies. See here
J94-100 (outdated) Contributed networks on Lc0 data Based on Sergio-V networks, trained on T60 data + value repair method. TCEC22 DivP+SuFi net
Latest 30b SV net (outdated) Sergio-V repository Trained on T60 data
SV-3972+jio-20k (outdated) removed Submitted for TCEC 18 Superfinal
384x30-t60-3010 (outdated) Sergio-V repository Won CCC13 and TCEC 17
384x30-t40-1705 (outdated) Sergio-V repository Trained on T40 data

24 blocks x 320 filters:

Name Source for Download Notes
T60 until 606511 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 15.0 Post No account required
SV-20b-t40-1541 Sergio-V repository Trained on T40 data
42850 training.lczero.org direct download Last T40 net

15/16 blocks x 192 filters:

Name Source for Download Notes
Latest T75 lczero.org run 3 networks Finished 3rd test run
Latest T76 lczero.org run 2 networks Current 2nd test run
J64-210 GitHub: jhorthos Leela Training Trained on T60 data
J20-460 GitHub: jhorthos Leela Training Trained on T40 data

10 blocks x 128 filters:

Name Source for Download Notes
Latest T74 lczero.org run 2 networks Finished 2nd test run
128x10-t60-2-5300 Sergio-V repository Trained on T60 data
Tinker TK-6430 Google Drive Trained on T60 data
Latest J104 net GitHub: jhorthos Leela Training Based on T70 network 703810, trained on T70 data + value repair method
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

Assorted sizes:

Size Name Source for Download Notes
19b x 256f T71.5-FR960-Armageddon-Chess lczero.org run 3 network 714700 Trained from scratch on Fischer Random Armageddon Chess
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 storage.lczero.org in some cases.


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.

Last Updated: 2021-11-30