LOC LM

LOC LM (Lightweight Optimzed Context Language Model) is a graph base languege model which is very lightweight and trained on specific domain data.

Currently it only has trained model for cell mechanics but more are under development

For usage have look at this notebook

Metadata

Release files for loclm 0.1.3

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

Source distribution (sdist)

Source distribution for loclm 0.1.3
File	Size	Uploaded	Provenance
loclm-0.1.3.tar.gz	8.0 kB	Dec 26, 2025	Without provenance	Details

Built distribution (wheel)

Table of built distributions (wheels) for loclm 0.1.3
File	Interpreter	ABI	Platform	Reset
loclm-0.1.3-py3-none-any.whl 10.9 kB Dec 26, 2025 Without provenance	Python 3	none	any	Details

Total release size: 18.9 kB

Release files / loclm-0.1.3.tar.gz

Download URL	loclm-0.1.3.tar.gz
Size	8.0 kB
Tags	Source
SHA-256 checksum How to use checksums	`14d7c1c0d6da831bce0730ffb2aa138eb1122c1cf418f8bc381b4d1c5d15327e`
BLAKE2b-256 checksum How to use checksums	`3baf7ebe91182c2f839ba16cf20d69ffade367ae0015c5a5a0085d523b458a19`
Upload date	Dec 26, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.2.0 CPython/3.12.7`

Release files / loclm-0.1.3-py3-none-any.whl

Download URL	loclm-0.1.3-py3-none-any.whl
Size	10.9 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`9dad8be0527ee077f53512df1017d9e2015fb8956110a58be93c124658fb5fb0`
BLAKE2b-256 checksum How to use checksums	`7fb47de1ffcd28eb7dcc307e547ba73f49b01d5bbf19e3ce0141758b9edbd7b3`
Upload date	Dec 26, 2025
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.2.0 CPython/3.12.7`

Security for loclm 0.1.3

Report project as malware

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.

No provenance found

None of the files in this release were uploaded with provenance metadata.

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.