LLM-Adapters

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LLM-Adapters is a framework for parameter-efficient fine-tuning of Large Language Models. It enables adapter-based PEFT methods for various tasks, extending HuggingFace's PEFT library.

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About

What is LLM-Adapters?

LLM-Adapters provides a framework for parameter-efficient fine-tuning (PEFT) of Large Language Models (LLMs). It integrates various adapter techniques directly into LLMs, allowing users to apply adapter-based PEFT methods for a wide range of tasks. This tool is built as an extension of HuggingFace's popular PEFT library, leveraging its existing capabilities while introducing additional functionalities for adapter management and application.

Best used for

Fine-tuning Large Language Models efficiently with reduced computational resources using adapter-based methods.

Common actions

Fine-tune LLMs

Optimize model performance

Reduce computational cost

Implement PEFT

Experiment with adapters

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Capabilities

Key features

Parameter-efficient fine-tuning
Integrates various adapters
Adapter-based PEFT methods
Extends HuggingFace PEFT

Target Audience

Machine Learning EngineersData ScientistsAI ResearchersDevelopers

Integrations

Not yet documented

Pricing & Plans

unknown

Free

FAQs

How does LLM-Adapters compare to the base HuggingFace PEFT library in terms of functionality?

LLM-Adapters extends HuggingFace PEFT by integrating a wider variety of adapter techniques and offering enhanced management capabilities for these adapters. It builds upon the existing PEFT framework, providing additional functionalities specific to diverse adapter-based methods.

What types of adapter-based PEFT methods are supported by LLM-Adapters?

LLM-Adapters is designed to integrate various adapter techniques. While specific methods aren't listed, its core purpose is to provide a framework for applying diverse adapter-based PEFT methods, implying support for a broad range beyond what might be natively in HuggingFace PEFT.

Can LLM-Adapters be used with any Large Language Model supported by HuggingFace?

As an extension of HuggingFace PEFT, LLM-Adapters is generally compatible with LLMs that are supported by the HuggingFace ecosystem. Its design aims to leverage existing HuggingFace model architectures for parameter-efficient fine-tuning.

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