LlamaFactory and LLM-Finetuning
LlamaFactory is a comprehensive fine-tuning framework that abstracts away lower-level details, while LLM-Finetuning is a direct implementation using PEFT (Parameter-Efficient Fine-Tuning) as the core library—making them competitors offering different levels of abstraction for the same task.
About LlamaFactory
hiyouga/LlamaFactory
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
This tool helps researchers, data scientists, and ML engineers customize large language models for specific tasks. You input an existing large language model and your own specialized dataset, and it outputs a fine-tuned model that performs better on your unique data or problem. It's designed for anyone who needs to adapt powerful AI models without deep programming.
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.
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