Download lolMiner 1.34 - NVIDIA+AMD GPU Miner

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Version: 1.34
File: *lolminer.exe,
SHA256: 957c59bdad23350f0e38caf6b7e2b335380a683b1efcd58133137c284e1fe807
(Download for Linux)

lolMiner The new lolMiner stable version is ready.

You can download lolMiner 1.34 from here:

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Inside the archive you will find a file README.txt with installation instructions.

Make sure to replace the pool and wallet address by what you’re using in all files.

mining rig

Changelog

  • Improved performance of RTX 3060 and RTX 3060 Ti by up to 2%, generally allowing a bit less core clock
  • Auto tuning will now be quicker to reasonable hashrates
  • Improved stability on found parameters
  • Found parameters that are hard coded with --lhrtune are now applied within 30 seconds after dag build
  • --lhrtune now understands the parameter “off” to disable any kind of LHR handling - this is useful for cards that sometimes trigger the lhr detection although they are non-LHR.
  • Improved compatibility with many current drivers. Still on Linux we recommend 470.74 for LHR v2 cards. The 460 series drivers might perform up to 0.5% worse. For 3060 LHR V1 use either 460.39 or earlier driver.
  • The parameter --workmulti now has effect on Nvidia GPUs on Ethash. Default value is 192, lower values will improve stale count, higher values will reduce CPU load (and can be a tiny bit quicker, although only very tiny).
  • Added support of RTX A6000 / RTX A5000 / RTX A4000 (and future RTX A2000) Nvidia workstation GPUs
  • Reduced RAM usage of Nvidia Ethash solver (some 10+ card rigs got issues with 1.33 when they only had 4G of memory)
  • --statsformat now understands the string “lhrinfo” to print the --lhrtune parameter and the lock count in custom set up statistics.
  • Fixed a bug with --tstop or a lost stratum connection triggering a LHR GPU to lock
  • Fixed a bug that RTX 3070Ti only triggered the lock detector on rather low memory clock.
  • Fixed a bug with invalid shares in Pitcairn Ergo Zombie mode
  • Improved stability of Ethash stratum and statistics module.