pyproject.toml

[tool.poetry]
name = "gemma"
version = "1.0.0"
description = "Open weights large language model (LLM) from Google DeepMind."
authors = [
  "Alek Andreev <alekandreev@google.com>",
  "Armand Joulin <ajoulin@google.com>",
  "Cassidy Hardin <cassidyhardin@google.com>",
  "Juliette Love <juliettelove@google.com>",
  "Kathleen Kenealy <kkenealy@google.com>",
  "Laurent Sifre <sifre@google.com>",
  "Léonard Hussenot <hussenot@google.com>",
  "Michelle Casbon <michellecasbon@google.com>",
  "Mihir Sanjay Kale <mihirkale@google.com>",
  "Morgane Riviere <mriviere@google.com>",
  "Ravin Kumar <ravink@google.com>",
  "Robert Dadashi <dadashi@google.com>",
  "Shreya Pathak <shreyapa@google.com>",
  "Surya Bhupatiraju <sbhupatiraju@google.com>",
  "Thomas Mesnard <mesnard@google.com>"
]
python-version = "3.10"
license = "Apache-2.0"
readme = "README.md"

[tool.poetry.dependencies]
absl-py = "^2.1.0"
sentencepiece = "^0.1.99"
flax = ">=0.8"
pytest = {version = "^8.0.0", optional = true}

[tool.poetry.extras]
test = ["pytest"]

[build-system]
requires = ["poetry-core"]
build-backend = "poetry.core.masonry.api"