Fine-tune Large Language Models locally.
Project description
LocalCat
LocalCat is designed to make the LLM strategy easy to implement. It provides a simple API and an intuitive interface for loading, fine-tuning, and deploying large deep learning models. With LocalCat, you can easily fine-tune pre-trained models on your own data and leverage their power for your specific tasks.
Tasks
Translation
LocalCat offers user-friendly tools for translation tasks, allowing the translator to be deployed as an endpoint or for batch processing of dataframes. Additionally, it provides fine-tuning capabilities for local deployment.
LocalCat's intuitive interface and efficient processing make it a valuable asset for any translation project. With its advanced features and customizable options, users can easily tailor their translations to meet specific requirements and ensure accuracy. Whether you're working on a small document or a large dataset, LocalCat has the tools you need to streamline the translation process and achieve high-quality results.
Chat
Retrieval Augmented Generation (RAG)
Localcat specializes in open-source LLMs and RAG for local deployment. Localcat offers a wide range of solutions for local deployment, including custom configurations and expert support for seamless integration. With a focus on user-friendly interfaces and scalable performance, Localcat is the ideal choice for organizations looking to optimize their LLMs and RAG processes.
Install
pip install localcat
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