xLAM is an intelligent agent research project based on Large Language Models (LLMs) developed by the Salesforce AI Research team. It aggregates intelligent agent trajectories from various environments, standardizing and unifying them into a consistent format to create an optimized general data loader specifically designed for intelligent agent training. xLAM-v0.1-r is the 0.1 version of this model series, designed for research purposes and compatible with VLLM and FastChat platforms.