macOS
brew install leela-zerolocal Homebrew formula metadata
安装
brew install leela-zerolocal Homebrew formula metadata
sudo apt install leela-zeroDebian stable package indexes · leela-zero · 来源: deb.debian.org
nix profile install nixpkgs#leela-zeronixpkgs package indexes · pkgs/by-name/le/leela-zero/package.nix · 来源: api.github.com
概览
Neural Network Go engine with no human-provided knowledge
历史
Leela Zero is an open-source Go engine modeled after DeepMind's AlphaGo Zero approach: Monte Carlo tree search guided by a deep residual convolutional neural network, trained without human-provided Go knowledge.
The project appeared after the AlphaGo Zero paper as a public reimplementation effort. Its README explicitly framed the engine as a faithful open-source implementation of the AlphaGo Zero system, while also noting that the repository did not contain trained network weights.
A major part of the project was the distributed AutoGTP training loop: volunteers ran clients that generated self-play games, uploaded results, and helped train stronger networks. The official training site records 21,219,288 self-play games and 1,264,007 match games before the server shut down on 2021-02-15.
The release line evolved through practical engine work: OpenCL/GPU support, GTP integration, GUI-facing analysis commands, batching, Tensor Core support, Winograd optimizations, and AutoGTP features. Version 0.17 was released on 2019-04-04.
Leela Zero reached adoption well beyond a niche package: the GitHub repository shows thousands of stars and forks, the README documents Homebrew installation for macOS, and the official site linked to community successor projects after training ended.
Go players and engine users usually paired it with GTP-compatible GUIs rather than running the engine directly. The README names Lizzie, Sabaki, LeelaSabaki, and GoReviewPartner as related clients or review tools.
Leela Zero is used as a Go engine through the Go Text Protocol. A user supplies a neural-network weights file, enables GTP with `--gtp`, and connects the engine to a GUI or analysis tool for playing, review, and study.
During the distributed-training phase, contributors ran AutoGTP to generate self-play or match games for the public training effort.
For package people, Leela Zero is a snapshot of the post-AlphaGo open-source AI-engine wave: C++14, OpenCL, GPU tuning, neural-network weights as separate data artifacts, and package-manager builds that had to expose a command-line engine while leaving training data outside the formula.
It also links Go-engine packaging with AI reproducibility culture: the executable, weights, GUI clients, training server, and community forks are all separate moving parts.
安全态势
broad file, network, media, or database tool signal.
blue 风险 · 中 置信度 · tool
在无人值守的代理使用前,请检查该工具是否读取明文凭据、写入远程状态、发布制品或调用插件。
可执行文件
| 命令 | 类型 | 暴露范围 | 备注 |
|---|---|---|---|
leelaz | 可执行文件 | 已索引可执行文件 | 从本地可执行文件索引发现。 |
新鲜度
这些信号区分页生成时间、软件包管理器活动和上游发布比较。只有存在证据 URL 和可比较版本时,才会提示版本落后。
安装元数据
| 软件包键 | brew:leela-zero |
|---|---|
| 版本 | 0.17 |
| 软件包管理器 | Homebrew |
| 主页 | https://zero.sjeng.org/ |
| 仓库 | https://github.com/leela-zero/leela-zero |
| 最后更新 | 2026-07-05T18:49:59+09:00 |
| Pulse | updated |
| Bottle | 未记录 |
| 服务 | 未声明 |
源数据库匹配
匹配项来自外部软件包管理器索引,并与本地 Automic Vault 软件包链接分开显示。
leela-zero 0.17-1+b4
Go engine with no human-provided knowledge, modeled after the AlphaGo Zero paper
https://github.com/gcp/leela-zero
sudo apt install leela-zeroleela-zero
nix profile install nixpkgs#leela-zeroleela-zero 0.17-1build6
Go engine with no human-provided knowledge, modeled after the AlphaGo Zero paper
https://github.com/gcp/leela-zero
sudo apt install leela-zero来源线索
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View the package source record on GitHub.