Install this version:
emerge -a =dev-python/trl-0.29.1
If this version is masked, you can unmask it using the autounmask tool or standard emerge options:
autounmask =dev-python/trl-0.29.1
Or alternatively:
emerge --autounmask-write -a =dev-python/trl-0.29.1
| Version | EAPI | Keywords | Slot |
|---|---|---|---|
| 0.29.1 | 8 | ~amd64 | 0 |
# Copyright 2026 Gentoo Authors
# Distributed under the terms of the GNU General Public License v2
# Transformer Reinforcement Learning: SFT and the preference trainers
# (DPO, KTO, ORPO, ...). Packaged for sci-ml/soup-cli; every dependency
# is a tree package.
EAPI=8
DISTUTILS_USE_PEP517=setuptools
DISTUTILS_SINGLE_IMPL=1
PYTHON_COMPAT=( python3_{12..14} )
inherit distutils-r1
DESCRIPTION="Train transformer language models with reinforcement learning"
HOMEPAGE="https://github.com/huggingface/trl"
SRC_URI="https://github.com/huggingface/${PN}/archive/refs/tags/v${PV}.tar.gz
-> ${P}.gh.tar.gz"
LICENSE="Apache-2.0"
SLOT="0"
KEYWORDS="~amd64"
# The suite needs GPUs, network access and peft/vllm extras.
RESTRICT="test"
RDEPEND="
sci-ml/accelerate[${PYTHON_SINGLE_USEDEP}]
sci-ml/datasets[${PYTHON_SINGLE_USEDEP}]
sci-ml/pytorch[${PYTHON_SINGLE_USEDEP}]
sci-ml/transformers[${PYTHON_SINGLE_USEDEP}]
"
DEPEND="${RDEPEND}"
sci-ml/accelerate[] sci-ml/datasets[] sci-ml/pytorch[] sci-ml/transformers[]
sci-ml/accelerate[] sci-ml/datasets[] sci-ml/pytorch[] sci-ml/transformers[]
| Type | File | Size | Source URLs |
|---|---|---|---|
| DIST | trl-0.29.1.gh.tar.gz | 2348348 bytes | https://github.com/huggingface/trl/archive/refs/tags/v0.29.1.tar.gz |