ModelGenius

This name is reserved for ModelGenius — automated LLM model regression and benchmarking: "is it safe to switch models, and is it worth it?"

This is a placeholder release; the ModelGenius client will be published under this name in a future release.

Metadata

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

Source distribution for modelgenius 0.0.1
File	Size	Uploaded
modelgenius-0.0.1.tar.gz	1.3 kB	Jul 6, 2026	Details

Table of built distributions (wheels) for modelgenius 0.0.1
File	Interpreter	ABI	Platform	Reset
modelgenius-0.0.1-py3-none-any.whl 1.6 kB Jul 6, 2026	Python 3	none	any	Details

Total release size: 2.9 kB

Download URL	modelgenius-0.0.1.tar.gz
Size	1.3 kB
Tags	Source
SHA-256 checksum How to use checksums	`795ee622ff6ffe3ef7f9c62509c14294fdb4440394268a82e56e000be22d0a86`
BLAKE2b-256 checksum How to use checksums	`f972646fc29ffb1d478789406d4a913cd74c6a16e5f0f734e73a3797578f26be`
Upload date	Jul 6, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.2.0 CPython/3.12.3`

Download URL	modelgenius-0.0.1-py3-none-any.whl
Size	1.6 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`947f4a3784ee3b1e77270813019dfb3c1cf4798f626dcdab7ec3fa52ef29fcf8`
BLAKE2b-256 checksum How to use checksums	`5c620c2da93b666fd676456d318ee1d9f47ad203c6d19b66cb840e420a882581`
Upload date	Jul 6, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.2.0 CPython/3.12.3`

This release

0.0.1 This release