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cpm-kernels

CPM CUDA kernels

cpm-kernels v1.0.11 91.9K downloads/30d#13,494 on PyPI
Permissive license Apache 2.0 Abandoned released

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

Provides CUDA kernels optimized for CPM, enabling GPU-accelerated computation on NVIDIA hardware.

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

pip

pip install cpm-kernels

uv

uv add cpm-kernels

poetry

poetry add cpm-kernels

Installing cpm-kernels

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.

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_kernels

Requires NVIDIA CUDA 10.1 or later; package is abandoned and may not be compatible with recent CUDA versions or modern Python environments.

Verify 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)

Evidence: cpm_kernels-1.0.11-py3-none-any.whl

Keywords: CPM, cuda, AI

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

Tags

cuda kernels for cpmgpu acceleration cpmnvidia cuda kernelscpm gpu optimizationcuda kernel librarydeep learning cuda kernels
cudagpu-accelerationabandoned

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Further reading