A comprehensive MCP server that provides machine learning model training, fine-tuning, and experiment management functions, supporting multi-backend training, cloud GPU deployment, and cost estimation.

OpenManus is an open-source project that allows users to realize various ideas without an invitation code. It was built by members of the MetaGPT team in 3 hours. It provides a simple implementation that allows users to create their own intelligent agents and supports multiple languages and configurations. The project welcomes suggestions, contributions, and feedback. Future plans include better planning, real-time demonstrations, playback functions, RL fine-tuning models, and comprehensive benchmarking.

The Unsloth MCP Server is a server for efficiently fine-tuning large language models. Through optimized algorithms and 4-bit quantization technology, it achieves a 2-fold increase in training speed and an 80% reduction in video memory usage, supporting multiple mainstream models.

The Unsloth MCP Server is a server for efficiently fine-tuning large language models, achieving a 2-fold speed increase and 80% memory savings through optimization techniques.