PEFT provides parameter-efficient fine-tuning methods for adapting pretrained machine learning models.
Open source
24 alternativesalpaca-lora
vsLightlyTrain
alpaca-lora vs LightlyTrain
How do alpaca-lora and LightlyTrain compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | alpaca-lora | LightlyTrain |
|---|---|---|
| What it is | Fine-tune LLaMA on consumer hardware with alpaca-lora and its LoRA training approach. | LightlyTrain supports pretraining, fine-tuning, and distillation for computer vision 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 alpaca-lora and LightlyTrain.
Hugging Face Accelerate launches and trains PyTorch models across devices and distributed configurations.
Open source
24 alternatives
PyTorch Lightning extension that accelerates and enhances foundation model experimentation with flexible fine-tuning schedules.
Open source
24 alternatives
Octo provides a transformer-based policy for robots, with code to train and fine-tune it.
Open source
24 alternatives
Enables single machine or distributed training and evaluation of deep learning models.
Open source
24 alternatives
FEDOT automates machine learning model development through its modeling framework.
Open source
24 alternatives