# Installer leela-zero avec Homebrew, apt, Nix Consultez les chemins d'installation, exécutables, métadonnées et notes de sécurité de leela-zero pour les workflows d'agents IA. ## installation ```sh sudo av install brew:leela-zero ``` Commandes d'installation supplémentaires: ### macOS - Homebrew (100%): ```sh brew install leela-zero ``` Preuve: local Homebrew formula metadata ### Linux - Debian apt (92%): ```sh sudo apt install leela-zero ``` Preuve: Debian stable package indexes: leela-zero from https://deb.debian.org/debian/dists/stable/main/binary-amd64/Packages.xz - Nix (92%): ```sh nix profile install nixpkgs#leela-zero ``` Preuve: nixpkgs package indexes: pkgs/by-name/le/leela-zero/package.nix from https://api.github.com/repos/NixOS/nixpkgs/git/trees/master?recursive=1 ## Faits du paquet - **Clé du paquet:** brew:leela-zero - **Gestionnaire de paquets:** Homebrew - **Page du gestionnaire de paquets:** - **Version:** 0.17 - **Résumé source:** Neural Network Go engine with no human-provided knowledge - **Page d'accueil:** - **Dépôt:** - **Docs amont:** - **Licence:** GPL-3.0-or-later - **Archive source:** - **Dernière mise à jour:** 2026-07-05T18:49:59+09:00 - **Généré:** 2026-08-04T22:13:35+00:00 ## exécutables - leelaz (cli) - leelaz (alias) ## Dépendances - boost ## Dépendances de compilation - cmake ## Comportement d'installation - hook post-installation: non défini - Bouteille: disponible sur arm64_linux, arm64_sequoia, arm64_sonoma, arm64_tahoe, sonoma, x86_64_linux ## Version et fraîcheur - page générée: 2026-08-04 - version du gestionnaire: 0.17 - gestionnaire mis à jour: 2026-07-05 - données locales: OK - dépôt amont: https://github.com/leela-zero/leela-zero - info: No cached GitHub release or tag data was available. ## Historique du projet et usages 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. ### Historique du projet 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. ### Historique d'adoption 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. ### Modes d'utilisation 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. ### Pourquoi les passionnés de paquets s'y intéressent 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. ### Chronologie - 2017: AlphaGo Zero paper prompted open-source reimplementation efforts including Leela Zero. - 2018-12-08: GitHub releases page shows Leela Zero 0.9 + AutoGTP v8. - 2019-04-04: Version 0.17 + AutoGTP v18 was released with batching, Tensor Core support, and search/analysis improvements. - 2021-02-15: Official training server shut down after the project finished its distributed training run. ### Related projects - The README links Leela Zero to AlphaGo, AlphaGo Zero, AlphaZero, Lizzie, Sabaki, LeelaSabaki, GoReviewPartner, Leela Chess Zero, and lc0. - The official training site points former contributors toward SAI and KataGo as successor-style Go AI projects. ### Sources - - - ## Notes de sécurité broad file, network, media, or database tool signal. - **Risque Geiger:** blue / moyen - broad file, network, media, or database tool signal ## Détails de la base source - **Source Database:** Homebrew formula API - **Tap:** homebrew/core - **Full Name:** leela-zero - **Version Scheme:** 0 - **Revision:** 12 - **Bottle Stable Root URL:** - **Deprecated:** no - **Disabled:** no - **Keg Only:** no - **URL Keys:** stable ## Autres enregistrements de gestionnaires de paquets - Debian apt - leela-zero - 0.17-1+b4: normalized package name match | Debian stable package indexes: leela-zero from https://deb.debian.org/debian/dists/stable/main/binary-amd64/Packages.xz | Go engine with no human-provided knowledge, modeled after the AlphaGo Zero paper | https://github.com/gcp/leela-zero - Nix - leela-zero: normalized package name match | nixpkgs package indexes: pkgs/by-name/le/leela-zero/package.nix from https://api.github.com/repos/NixOS/nixpkgs/git/trees/master?recursive=1 - Ubuntu apt - leela-zero - 0.17-1build6: normalized package name match | Ubuntu 24.04 LTS package indexes: leela-zero from https://archive.ubuntu.com/ubuntu/dists/noble/universe/binary-amd64/Packages.gz | Go engine with no human-provided knowledge, modeled after the AlphaGo Zero paper | https://github.com/gcp/leela-zero ## Liens liés - [MCP tool packages](https://pkg.so/fr/mcp-tools/) - Mentions MCP or Model Context Protocol. - [Secret-risk packages](https://pkg.so/fr/secret-risk-packages/) - Has protected-tool coverage, approval-gate, or non-low Geiger security signals. - [Terminal utility packages](https://pkg.so/fr/terminal-utilities/) - Matched terminal and command-line workflow metadata. - [Language runtime packages](https://pkg.so/fr/language-runtime-packages/) - Matched language runtime, compiler, or interpreter metadata. - [cmake](https://pkg.so/fr/brew/cmake/) - Build dependency declared by Homebrew. - [katago](https://pkg.so/fr/brew/katago/) - Shares pkgdb curated category or tags: ai, cli, game-engine, games, go. - [lc0](https://pkg.so/fr/brew/lc0/) - Shares pkgdb curated category or tags: cli, games, neural-network. - [fheroes2](https://pkg.so/fr/brew/fheroes2/) - Shares pkgdb curated category or tags: cli, game-engine, games. - [corsixth](https://pkg.so/fr/brew/corsixth/) - Shares pkgdb curated category or tags: cli, game-engine, games. - [instead](https://pkg.so/fr/brew/instead/) - Shares pkgdb curated category or tags: cli, game-engine, games. - [chocolate-doom](https://pkg.so/fr/brew/chocolate-doom/) - Shares pkgdb curated category or tags: cli, game-engine, games. - [solarus](https://pkg.so/fr/brew/solarus/) - Shares pkgdb curated category or tags: cli, game-engine, games. - [gnu-chess](https://pkg.so/fr/brew/gnu-chess/) - Shares pkgdb curated category or tags: cli, game-engine, games. - [pachi](https://pkg.so/fr/brew/pachi/) - Both packages touch the same language runtime or ecosystem. Shared terms: boost, cli, game, games, go. ## Combined YAML source View the package source record on GitHub. [combined/leela-zero.yml](https://github.com/mxcl/pkgdb/blob/main/combined/leela-zero.yml) ## Sources - pkg.so package database - Geiger risk classifier - package-page enrichment - curated package history - package version freshness - pkgdb category and tag curation - package relationship graph - external package-manager database matches - cross-ecosystem install command graph