Library to mitigate verbatim or near-verbatim memorization in LLMs
Project description
The author of this package has not provided a project description
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
verbatim_llm-0.1.0.tar.gz
(1.5 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file verbatim_llm-0.1.0.tar.gz.
File metadata
- Download URL: verbatim_llm-0.1.0.tar.gz
- Upload date:
- Size: 1.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.8.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
e7ffd9a7f8a68feac1848172614769e39defbd45bcd4c294b4aada077af8fd5c
|
|
| MD5 |
8648c3d8ac76a4899403e58abbc52756
|
|
| BLAKE2b-256 |
1c73c95522a1145af89064e635790a0e900936705b605f30800d63d56ef592e8
|
File details
Details for the file verbatim_llm-0.1.0-py3-none-any.whl.
File metadata
- Download URL: verbatim_llm-0.1.0-py3-none-any.whl
- Upload date:
- Size: 1.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.8.10
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
a26bf9c4796df9b190c0e18e312ca33bfcdb152297d4d6e7d0a28899ae448151
|
|
| MD5 |
f6afb348ce62d13fd4fd545e951bb647
|
|
| BLAKE2b-256 |
cd4e27bf09334fca8fdc19cdb634bd28d1c783f9fb545e9add5ab718d3ad09e7
|
