cpm-kernels
CPM CUDA kernels
Decision gist · record as of 2026-08-14
No. The package is abandoned since 2022-03-07 with no active maintenance, repository, or documentation. While it has low install friction and a permissive license, the lack of updates means it is likely incompatible with modern CUDA versions and Python environments. Install only if you are maintaining legacy CPM code that explicitly requires this exact version and your environment is locked to compatible CUDA/Python versions.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires NVIDIA CUDA 10.1 or later; package is abandoned and may not be compatible with recent CUDA versions or modern Python environments.
- Low install friction with a pure Python wheel, but the package is abandoned—last release was March 2022 with no active maintenance or repository access available.
License · maintenance · safety
Apache 2.0 (permissive) — Apache 2.0 permissive license allows commercial and private use with minimal restrictions, typical for research and ML tooling.
last release 2022-03-07 (1621 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 91,901 downloads/mo, #13,494 on PyPI
Alternatives
Verify before relying
pip install cpm-kernels==1.0.11
import cpm_kernels- Whether the package works with CUDA versions beyond 11.5 (latest listed classifier)
- Compatibility with Python versions released after March 2022
- Whether this package is still required by current CPM implementations or if alternatives exist
What it is and what it does
cpm-kernels is a library of CUDA kernels designed to accelerate computation in CPM, a large language model framework. It provides GPU-optimized operations for NVIDIA hardware, supporting CUDA versions from 10.1 through 11.5. The package is distributed as a pure Python wheel with no runtime dependencies, making installation straightforward on systems with compatible CUDA toolkits.
However, the package has been abandoned since its latest release on 2022-03-07 with no active maintenance, repository access, or updates. It is classified as alpha-stage software, and there is no documentation or homepage available. Users considering this package should verify whether it remains compatible with their CUDA environment and whether the CPM framework they intend to use still depends on or recommends it.
Use it for
- Accelerating CPM model inference on NVIDIA GPUs in production systems that have not migrated to newer frameworks.
- Research projects using CPM that require the specific CUDA kernel implementations this package provides.
- Legacy systems running CPM that cannot easily upgrade to alternative or successor libraries.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
No.
The package is abandoned since 2022-03-07 with no active maintenance, repository, or documentation. While it has low install friction and a permissive license, the lack of updates means it is likely incompatible with modern CUDA versions and Python environments. Install only if you are maintaining legacy CPM code that explicitly requires this exact version and your environment is locked to compatible CUDA/Python versions.
Install
cpm-kernels on PyPI
Before you install
Low install friction with a pure Python wheel, but the package is abandoned—last release was March 2022 with no active maintenance or repository access available.
Requires NVIDIA CUDA 10.1 or later; package is abandoned and may not be compatible with recent CUDA versions or modern Python environments.
License in practice
Apache 2.0 permissive license allows commercial and private use with minimal restrictions, typical for research and ML tooling.
Quickstart
pip install cpm-kernels==1.0.11
import cpm_kernelsVerify before relying
- Whether the package works with CUDA versions beyond 11.5 (latest listed classifier)
- Compatibility with Python versions released after March 2022
- Whether this package is still required by current CPM implementations or if alternatives exist
Package facts
| License | Apache 2.0 permissive |
| Python support | Not specified |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | None |
| Maintenance | Abandoned 1,621 days since the last release |
| First released | |
| Downloads | 91,901 / month, #13,494 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 3 - AlphaEnvironment :: GPU :: NVIDIA CUDA :: 10.1Environment :: GPU :: NVIDIA CUDA :: 10.2Environment :: GPU :: NVIDIA CUDA :: 11.0Environment :: GPU :: NVIDIA CUDA :: 11.1Environment :: GPU :: NVIDIA CUDA :: 11.2Environment :: GPU :: NVIDIA CUDA :: 11.3Environment :: GPU :: NVIDIA CUDA :: 11.4Environment :: GPU :: NVIDIA CUDA :: 11.5Intended Audience :: DevelopersIntended Audience :: Science/ResearchLicense :: OSI Approved :: Apache Software LicenseNatural Language :: EnglishOperating System :: OS IndependentProgramming Language :: Python :: 3Topic :: Scientific/Engineering :: Artificial IntelligenceTopic :: Software Development :: Libraries :: Python Modules |
Evidence: cpm_kernels-1.0.11-py3-none-any.whl
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See also nvidia-cudnn-cu11 · quadrants · sageattention · sgl-deep-gemm · nvidia-cuda-cccl · slangtorch · nvidia-cusolver · nvidia-cublas · nvidia-cuda-runtime-cu11 · nvidia-cuda-crt