A comprehensive framework for evaluating Large Language Models with built-in support for bias, toxicity, relevancy metrics, custom evaluations, conversational test cases, release tracking, and token counting
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
custom_llm_eval-0.1.9.tar.gz
(24.7 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 custom_llm_eval-0.1.9.tar.gz.
File metadata
- Download URL: custom_llm_eval-0.1.9.tar.gz
- Upload date:
- Size: 24.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.13.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
71d4b249fea0326bc84ae22e3e6620e1062ab5c0706502260d07b806a4d3e9ea
|
|
| MD5 |
33771e5d52741faf72ac8c4c596d3687
|
|
| BLAKE2b-256 |
a0baa8dbdad4c7e44e1c6d6844e3eca24daf6f792d1426dc4aa81eea37c68318
|
File details
Details for the file custom_llm_eval-0.1.9-py3-none-any.whl.
File metadata
- Download URL: custom_llm_eval-0.1.9-py3-none-any.whl
- Upload date:
- Size: 12.3 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.13.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
1d3cdbc8a9e0b9ac8c01400f6d2c5d387f871a4348ff69369f318ca4381ed031
|
|
| MD5 |
7f25d7bc00c8284abfcf499257b6b54e
|
|
| BLAKE2b-256 |
a754839d1ff3c65bb1705e591f1464d0afeb31b15826d3abd8687725ec6becf8
|
