LoRAgression

LoRA fine-tuning, but more aggressively.

Experimental utilities for parameter-efficient fine-tuning.

Very early development.

Current functionality

Utilities for inspecting trainable model parameters.

More aggression forthcoming.

Metadata

Release files for loragression 0.0.1

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Source distribution (sdist)

Source distribution for loragression 0.0.1
File	Size	Uploaded	Provenance
loragression-0.0.1.tar.gz	901 Bytes	Oct 24, 2026	Without provenance	Details

Built distribution (wheel)

Table of built distributions (wheels) for loragression 0.0.1
File	Interpreter	ABI	Platform	Reset
loragression-0.0.1-py3-none-any.whl 1.7 kB Oct 24, 2026 Without provenance	Python 3	none	any	Details

Total release size: 2.6 kB

Release files / loragression-0.0.1.tar.gz

Download URL	loragression-0.0.1.tar.gz
Size	901 Bytes
Tags	Source
SHA-256 checksum How to use checksums	`88935995ff5d4ab42b925c5905aaf5e97f5bafd689667240f1a99aab6ed04dae`
BLAKE2b-256 checksum How to use checksums	`4939048e94dc60278d401ffb48aa7fdb48967c7e454810b427d398537867a9b2`
Upload date	Oct 24, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/7.0.0 CPython/3.12.13`

Release files / loragression-0.0.1-py3-none-any.whl

Download URL	loragression-0.0.1-py3-none-any.whl
Size	1.7 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`3d0f8be43a1e054e53daa21838fe531b5037f04f6060cbb30ce375d92e34a1fe`
BLAKE2b-256 checksum How to use checksums	`03307259c91a4b6259eb965fe6ca57588c315eaa8786afb97a35df895a3475b5`
Upload date	Oct 24, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/7.0.0 CPython/3.12.13`

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