fp_quant
A library that wraps qutlass kernels with linear layer wrappers for integrations into training and inference engines.
Installation
pip install .
Usage
from fp_quant import replace_with_fp_quant_linear, FPQuantConfig
# Replace nn.Linear layers with fp_quant.FPQuantLinear
replace_with_fp_quant_linear(
model,
fp_quant_linear_config=FPQuantConfig(),
)
1 maintainer
Metadata
1 maintainer
Release files for fp-quant 0.3.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| fp_quant-0.3.2.tar.gz | 11.0 kB | With provenance | Details for fp_quant-0.3.2.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| fp_quant-0.3.2-py3-none-any.whl | Python 3 | none | any | Details for fp_quant-0.3.2-py3-none-any.whl |
Total release size: 25.6 kB
Release files / fp_quant-0.3.2.tar.gz
| Download URL | fp_quant-0.3.2.tar.gz |
|---|---|
| Size | 11.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
a8ac368aab3ad924ffe975ad9119e859e97c10c25fdd8e6d5c6be64c7c60921e
|
|
BLAKE2b-256 checksum How to use checksums |
26fa79842f3a65df80970ec33c6c9cdaa610e2521e47e82e0a64bd213a543528
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
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 28, 2025.
Transparency logRelease files / fp_quant-0.3.2-py3-none-any.whl
| Download URL | fp_quant-0.3.2-py3-none-any.whl |
|---|---|
| Size | 14.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
a2bb659a85c8e97db7e3b7bd606102199f9460705c8cb9eeb834d5b153b549e1
|
|
BLAKE2b-256 checksum How to use checksums |
82f907b1a420132bcaefffbecd911db832bbcb8c95e213c6dc77372270f0ba5b
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
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 28, 2025.
Transparency logSecurity for fp-quant 0.3.2
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.
Attestation for fp_quant-0.3.2.tar.gz
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 28, 2025.
Transparency logA 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.
