Axiomi.si
Submit a tool

PEFT

huggingface.co · Training & Fine-tuning

Open source
#3 in Training & Fine-tuning

Parameter-efficient fine-tuning methods such as LoRA, letting large models adapt on modest hardware.

#lora#fine-tuning#efficient#adapters
Visit PEFT ↗GitHub ↗

About the Training & Fine-tuning category

Distributed-training libraries, parameter-efficient fine-tuning methods and post-training toolkits for adapting foundation models to new tasks and preferences.

PEFT is one of 9 training & fine-tuning tools indexed on Axiomi. Facts on this page come from the tool's official site and public APIs; prices and features change, so confirm details on the official website before you commit.

// related

Related tools

All Training & Fine-tuning →
Unslothunsloth.aiFine-tuning toolkit that speeds up LoRA and full training while cutting GPU memory use, with free notebooks.Training & Fine-tuningOpen source★ 77.2kAxolotlaxolotl.aiConfig-driven tool for fine-tuning open models across many architectures and training methods.Training & Fine-tuningOpen source★ 12.5ktorchtunegithub.comPyTorch-native library of hackable recipes for fine-tuning and experimenting with LLMs.Training & Fine-tuningOpen source★ 5.8kDeepSpeeddeepspeed.aiLibrary for large-scale distributed training and inference, known for the ZeRO memory-optimisation family.Training & Fine-tuningOpen source★ 43.2kTRLhuggingface.coHugging Face library for post-training models with supervised fine-tuning, DPO, GRPO and other preference-optimisation methods.Training & Fine-tuningOpen source★ 19.4kMegatron-LMgithub.comNVIDIA's research codebase for training transformer models at scale with tensor, pipeline and sequence parallelism.Training & Fine-tuningOpen source★ 18.1k