PEFT provides parameter-efficient fine-tuning methods for adapting pretrained machine learning models.
Open source
24 alternativesHow do DeepSpeed and p-tuning-v2 compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | DeepSpeed | p-tuning-v2 |
|---|---|---|
| What it is | DeepSpeed provides optimization tools that make distributed deep learning training more efficient. | P-tuning v2 is a deep prompt tuning strategy designed as an alternative to full model fine-tuning. |
| Website | ||
| Type | Online tool | Open-source project |
| Topic | ||
| Pricing | Not confirmed | Not confirmed |
| Platforms | Web | Not recorded |
| Open source | Not stated | Yes |
| Language | English | English |
| Alternatives |
Sites similar to both DeepSpeed and p-tuning-v2.
PEFT provides parameter-efficient fine-tuning methods for adapting pretrained machine learning models.
oumi supports fine-tuning, evaluation, and deployment of open-weight language models.
Enables single machine or distributed training and evaluation of deep learning models.
DeepSpeed optimizes distributed training and inference for deep learning models.
Deeplearning4j provides tools for training and deploying deep learning models in the JVM.
Hugging Face Accelerate launches and trains PyTorch models across devices and distributed configurations.