OpenHands LM - A Locally Running LLM for Coding Tasks

This 12-minute video introduces OpenHands LM, a locally-runnable language model built on Qwen Coder 2.5 Instruct 32B specifically designed for coding tasks. Learn about this model's specialized fine-tuning process using training data generated by OpenHands itself on diverse open-source repositories through an RL-based framework outlined in SWE-Gym. Discover how its 128K token context window makes it ideal for handling large codebases and long-horizon software engineering tasks. The video provides links to access the model on Hugging Face and in GGUF format for local implementation, allowing you to start using this vibecoding capability immediately.