Nibbler-for-macOS

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Nibbler-for-macOS

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Combines nibbler chess gui with electron framework and Leela chess (Lc0) for macOS

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# Nibbler-for-macOS
This repository combines the [Nibbler chess GUI](https://github.com/fohristiwhirl/nibbler) with [Leela Chess Zero](https://lczero.org/), the UCI-compliant neural network chess engine, as prebuilt binaries for **MacOS**.

[@fohristiwhirl](https://github.com/fohristiwhirl) is the creator of the Nibbler chess GUI. Without a MacOS system, it's challenging to integrate Nibbler, with the [Electron software framework](https://electronjs.org/) for MacOS. Until he figured this out and provides a MacOS build of Nibbler, you can use this [Nibbler-for-macOS](https://github.com/twoplan/Nibbler-for-macOS/releases) release. It contains

- __Nibbler__ Chess GUI from https://github.com/fohristiwhirl/nibbler

- __Electron__ Framework from https://github.com/electron/electron

- Chess engine __Lc0__ from https://github.com/LeelaChessZero/lc0 
compiled with clang 9.0 for OpenCL and BLAS (Apple vecLib) backends

The chess engine Lc0 needs a [weights file](https://github.com/twoplan/Nibbler-for-macOS#hints) (network).

## Usage
- download the release file (not the source code) from https://github.com/twoplan/Nibbler-for-macOS/releases
- unpack this zip-file to a directory of your choice (you probably just did this)
- start Nibbler.app (use right click and open)
- from the menu entry `Engine` select your path to a (previous downloaded) weights file and the lc0 chess engine (inside this folder, named lc0)
- choose a backend: blas (uses cpu) or opencl (uses gpu)
- you are ready now; take a look at menu entry `Electron/About`

## Version of Nibbler is ahead to Nibbler-for-macOS
You can help yourself:
- download and unpack the latest **source code** of Nibbler from https://github.com/fohristiwhirl/nibbler/releases
- replace all files in `Nibbler.app/Contents/Resources/app/` with them

## Hints
- the first time a new network size is selected for backend opencl, __leelaz_opencl_tuning__ gets created or updated. Depending on your gpu, this can take some minutes.
- use the opencl backend on MacBooks with care. It could __overheat__ your system. Check this with Intel power gadget https://software.intel.com/en-us/articles/intel-power-gadget 
- all settings can manually be edited; they are saved in
`~/Library/Application Support/Nibbler/config.json`
- got these nps values with blas and opencl for different network sizes:
```
	size 320x24: (60130, go nodes 1000)	    38 nps (blas) |  42 nps (opencl)
	size 256x20: (42850, go nodes 1000)	    37 nps (blas) |  22 nps (opencl)	
	size 128x10: (56170, go nodes 10000)	   383 nps (blas) | 406 nps (opencl)	
	11258-48x5-se: (go nodes 10000)	          2730 nps (blas) | 175 nps (opencl)
```  
## Weights
- https://lczero.org/networks/
- https://github.com/dkappe/leela-chess-weights/wiki/Bad-Gyal
- https://github.com/dkappe/leela-chess-weights/wiki/Distilled-Networks
- https://github.com/jhorthos/lczero-training/wiki/Leela-Training

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