mlx-tuning-fork

Skilluncategorised

Basic framework for LLM (Q)LoRA fine-tuning using mlx, mlx_lm, and OgbujiPT.

Directory Presence

Cross-referenced across 55 tracked directories

Directory	Status	First Seen	Last Confirmed	Link
P PyPI Skills Registry		6/11/2026	6/11/2026

Adoption Metrics & Statistics

#5418

Popularity Rank

1 / 55

Listed In

Emerging

Adoption Stage

3/15/2024

First Seen

Recently added to the ecosystem

Health Score

9/100

Directory Presence5/20

Community0/30

Usage0/20

Development Activity4/30

Directory Adoption Over Time

Jun 11, 26: + PyPI Skills Registry

Info

Author: Chimezie Ogbuji
License: MIT License Copyright (c) 2024 Chime Ogbuji Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
Package: mlx-tuning-fork

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mlx-tuning-fork

Directory Presence

Adoption Metrics & Statistics

Health Score

Directory Adoption Over Time

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