Install this version:
emerge -a =sci-ml/bitsandbytes-0.49.2
If this version is masked, you can unmask it using the autounmask tool or standard emerge options:
autounmask =sci-ml/bitsandbytes-0.49.2
Or alternatively:
emerge --autounmask-write -a =sci-ml/bitsandbytes-0.49.2
| Version | EAPI | Keywords | Slot |
|---|---|---|---|
| 0.49.2 | 8 | ~amd64 | 0 |
# Copyright 1999-2026 Gentoo Authors
# Distributed under the terms of the GNU General Public License v2
EAPI=8
DISTUTILS_EXT=1
# Upstream's build-backend is scikit_build_core.setuptools.build_meta (a
# setuptools shim that drives CMake; wheel.cmake=false), not
# scikit_build_core.build -- so use standalone, not the eclass's
# scikit-build-core value.
DISTUTILS_USE_PEP517=standalone
DISTUTILS_SINGLE_IMPL=1
PYTHON_COMPAT=( python3_{11..13} )
ROCM_VERSION=6.3
inherit distutils-r1 rocm
DESCRIPTION="k-bit quantization (QLoRA) and 8-bit optimizers for PyTorch"
HOMEPAGE="https://github.com/bitsandbytes-foundation/bitsandbytes"
SRC_URI="
https://github.com/bitsandbytes-foundation/${PN}/archive/refs/tags/${PV}.tar.gz
-> ${P}.gh.tar.gz
"
LICENSE="MIT"
SLOT="0"
KEYWORDS="~amd64"
# Default backend is CPU; USE=rocm builds the HIP/ROCm backend. The ROCm
# gfx coverage includes the consumer RDNA3 (gfx1100) and Strix-Halo
# (gfx1150/gfx1151) targets this overlay uses.
IUSE="rocm"
RDEPEND="
sci-ml/pytorch[${PYTHON_SINGLE_USEDEP}]
$(python_gen_cond_dep '
dev-python/numpy[${PYTHON_USEDEP}]
dev-python/packaging[${PYTHON_USEDEP}]
')
"
DEPEND="${RDEPEND}"
BDEPEND="
$(python_gen_cond_dep '
dev-python/scikit-build-core[${PYTHON_USEDEP}]
dev-python/setuptools[${PYTHON_USEDEP}]
dev-python/trove-classifiers[${PYTHON_USEDEP}]
')
rocm? (
dev-util/hip
sci-libs/hipBLAS
sci-libs/rocBLAS
)
"
src_compile() {
# COMPUTE_BACKEND defaults to cpu in the CMakeLists. scikit-build-core
# honors CMAKE_ARGS; bitsandbytes reads AMDGPU_TARGETS for
# CMAKE_HIP_ARCHITECTURES.
if use rocm; then
export CMAKE_ARGS="-DCOMPUTE_BACKEND=hip -DAMDGPU_TARGETS=$(get_amdgpu_flags)"
fi
distutils-r1_src_compile
}
Manage flags for this package:
euse -i <flag> -p sci-ml/bitsandbytes |
euse -E <flag> -p sci-ml/bitsandbytes |
euse -D <flag> -p sci-ml/bitsandbytes
sci-ml/pytorch[${PYTHON_SINGLE_USEDEP}] $(python_gen_cond_dep ' dev-python/numpy[${PYTHON_USEDEP}] dev-python/packaging[${PYTHON_USEDEP}] ')
sci-ml/pytorch[${PYTHON_SINGLE_USEDEP}] $(python_gen_cond_dep ' dev-python/numpy[${PYTHON_USEDEP}] dev-python/packaging[${PYTHON_USEDEP}] ')
$(python_gen_cond_dep ' dev-python/scikit-build-core[${PYTHON_USEDEP}] dev-python/setuptools[${PYTHON_USEDEP}] dev-python/trove-classifiers[${PYTHON_USEDEP}] ') rocm? ( dev-util/hip sci-libs/hipBLAS sci-libs/rocBLAS )
| Type | File | Size | Source URLs |
|---|---|---|---|
| DIST | bitsandbytes-0.49.2.gh.tar.gz | 448620 bytes | https://github.com/bitsandbytes-foundation/bitsandbytes/archive/refs/tags/0.49.2.tar.gz |