PEFT provides parameter-efficient fine-tuning methods for adapting pretrained machine learning models.
Open source
24 alternativesp-tuning-v2
vsoumi-ai/oumi
p-tuning-v2 vs oumi-ai/oumi
How do p-tuning-v2 and oumi-ai/oumi compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | p-tuning-v2 | oumi-ai/oumi |
|---|---|---|
| What it is | P-tuning v2 is a deep prompt tuning strategy designed as an alternative to full model fine-tuning. | oumi supports fine-tuning, evaluation, and deployment of open-weight language models. |
| Website | ||
| Type | Open-source project | Open-source project |
| Topic | ||
| Pricing | Not confirmed | Not confirmed |
| Platforms | Not recorded | Not recorded |
| Open source | Yes | Yes |
| Language | English | English |
| Alternatives |
Other options to consider
Sites similar to both p-tuning-v2 and oumi-ai/oumi.
PyTorch Lightning extension that accelerates and enhances foundation model experimentation with flexible fine-tuning schedules.
Open source
24 alternatives
LightlyTrain supports pretraining, fine-tuning, and distillation for computer vision models.
Open source
24 alternatives
Enables single machine or distributed training and evaluation of deep learning models.
Open source
24 alternatives
autoai automates regression and classification modeling in Python through model search and hyperparameter tuning.
Open source
24 alternatives
Octo provides a transformer-based policy for robots, with code to train and fine-tune it.
Open source
24 alternatives