peft and LLM-Finetuning

PEFT is the foundational library that LLM-Finetuning uses as its core dependency, making them complements rather than competitors—the latter is a practical guide/example repository built on top of the former.

peft
80
Verified
LLM-Finetuning
45
Emerging
Maintenance 20/25
Adoption 15/25
Maturity 25/25
Community 20/25
Maintenance 2/25
Adoption 10/25
Maturity 8/25
Community 25/25
Stars: 20,777
Forks: 2,211
Downloads:
Commits (30d): 31
Language: Python
License: Apache-2.0
Stars: 2,827
Forks: 725
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License:
No risk flags
No License Stale 6m No Package No Dependents

About peft

huggingface/peft

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

This project helps machine learning practitioners adapt large AI models, like those used for text generation or image creation, to new, specific tasks without needing immense computing power. You provide a pre-trained model and a small dataset for your specific use case, and it outputs a compact 'adapter' that tailors the model's behavior. This is ideal for anyone working with large language models or diffusion models who needs to customize them for unique applications like specialized chatbots or custom image styles.

AI model customization Large Language Models Generative AI Machine Learning Engineering Model Deployment

About LLM-Finetuning

ashishpatel26/LLM-Finetuning

LLM Finetuning with peft

This project helps machine learning engineers and researchers adapt large language models (LLMs) like Llama 2, Falcon, or GPT-Neo-X to perform specific tasks using their own custom datasets. You provide an existing LLM and your unique text data, and it outputs a specialized version of that model ready for tasks such as answering domain-specific questions, generating tailored text, or improving chatbot performance. This is for professionals who need to customize powerful AI models without starting from scratch.

large-language-models natural-language-processing AI-model-customization machine-learning-engineering

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