Skip to main content
Pre-release

This release is a pre-release and may not be stable for production use.

loom-py-rt-cuda

The CUDA backend for loom-py-rt. One shared library in one small wheel; there is nothing here to import.

pip install "loom-py-rt[cuda]"
import loom

loom.devices()                                   # a CUDA device now appears
model = loom.Model.from_file(path, device="gpu")

The base package is unchanged by installing this — it discovers the library on sys.path at import and device="auto" starts using it. That is what GGML_BACKEND_DL buys: no second copy of the runtime per accelerator.

If it appears not to have worked

Check loom.devices(). A backend whose driver is too old, or which finds no supported device, loads without error and registers nothing — the only other symptom is a model running at CPU speed.

device="gpu" asks for an offload device with its own memory, preferring one the kernel confirms is a GPU. It is not a promise that CUDA specifically was chosen. Pass device="CUDA0" to require this backend.

Versioning

This package pins the base with ==, not ~=. It carries a libggml-cuda.so that is dlopened beside the base wheel's libggml-base.so, and ggml makes no ABI promise across revisions — so a base release that moves its ggml pin invalidates every backend wheel published before it. The exact pin is what stops pip from pairing two libraries that do not agree.

Metadata

Release files for loom-py-rt-cuda 1.0.0rc16

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distributions (wheels)

Table of built distributions (wheels) for loom-py-rt-cuda 1.0.0rc16
File Interpreter ABI Platform
loom_py_rt_cuda-1.0.0rc16-py3-none-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl Python 3 none Linux glibc 2.27+ x86-64, Linux glibc 2.28+ x86-64 Details
loom_py_rt_cuda-1.0.0rc16-py3-none-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl Python 3 none Linux glibc 2.28+ ARM64, Linux glibc 2.27+ ARM64 Details

Total release size: 129.8 MB

Release files / loom_py_rt_cuda-1.0.0rc16-py3-none-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl

Download URL loom_py_rt_cuda-1.0.0rc16-py3-none-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl
Size 77.2 MB
Tags Linux glibc 2.27+ x86-64 Linux glibc 2.28+ x86-64 Python 3
SHA-256 checksum
How to use checksums
852e18167487ffe367190bfca8d7941081503c2fb739d7e91a6af20688b7a94d
BLAKE2b-256 checksum
How to use checksums
a8813e0a8059364dfe3e1cb9534e741f05d5883eb5640dc670848f68696f47ef
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 10, 2026.

Transparency log

Release files / loom_py_rt_cuda-1.0.0rc16-py3-none-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl

Download URL loom_py_rt_cuda-1.0.0rc16-py3-none-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl
Size 52.6 MB
Tags Linux glibc 2.27+ ARM64 Linux glibc 2.28+ ARM64 Python 3
SHA-256 checksum
How to use checksums
62b520bff10f8a3b25c5592317c30841146db801b7e5bd91e287dd4b963b86f7
BLAKE2b-256 checksum
How to use checksums
e827af2c3ada8c64bbb938b4068b64c11b00eb2965aeae9e53416b82eeeaf505
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 10, 2026.

Transparency log

Security for loom-py-rt-cuda 1.0.0rc16

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

Full provenance

All 2 files in this release have been uploaded with provenance metadata.

Select from 2 files

Attestation for loom_py_rt_cuda-1.0.0rc16-py3-none-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Oct 10, 2026.

Transparency log

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page