LLM Foundry empowers users to train, fine-tune, evaluate, and deploy Large Language Models (LLMs) efficiently using Databricks' platform and accompanying tools. This repository offers a comprehensive codebase facilitating rapid experimentation with state-of-the-art techniques. The primary objective is to streamline the LLM lifecycle, offering a flexible and user-friendly experience for researchers and developers alike. It leverages MosaicML's Composer framework for optimized training and inference.
Key features include streamlined workflows for data preparation, training (including benchmarking), inference (with model conversion and benchmarking), and evaluation. MPT and DBRX models are supported with readily available weights and examples. The MPT community section highlights contributions and resources from the wider community, and the repository benefits from ongoing updates and community support.
- Model Training: Provides scripts and configurations for training and finetuning various LLM architectures, including MPT and DBRX.
- Inference Pipelines: Enables efficient model deployment for inference using Hugging Face and ONNX formats, with benchmarking capabilities.
- Evaluation Tools: Includes utilities for evaluating LLMs on academic and custom in-context-learning datasets.
- Data Preparation: Offers scripts for converting text data into the required StreamingDataset format for efficient training.
- MCLI Integration: Facilitates easy deployment of workloads through the MosaicML Command Line Interface (MCLI).
- Community Resources: Provides links and examples of community-contributed projects building on MPT.
- Performance Benchmarking: Offers built-in benchmarking for training throughput, MFU, and inference latency.
LLM Foundry is an active project with regular updates and a growing community. Recent commits indicate ongoing development and maintenance. Comprehensive documentation is available to guide users through various functionalities. The project benefits from a thriving community contributing models and resources.
LLM Foundry simplifies the development and deployment of LLMs for a wide range of users, from researchers to production engineers. It offers a robust and flexible platform for experimenting with cutting-edge LLM techniques, facilitating faster iteration and deployment compared to manual or less structured approaches.