Kimi-Dev-72B LOCAL Test (RooCode + LM Studio Coding & Debugging)
AI Summary
The video reviews a new coding model by Moonshot AI called Kimmy-dev-72B, a fine-tune of Quen 2.572B optimized for coding tasks with state-of-the-art performance on benchmarks. It uses large-scale reinforcement learning by patching real repositories and gaining rewards when unit tests pass, enhancing its bug-fixing and test-writing capabilities. The presenter tests the model locally, noting it is large and slow but effective at explaining and debugging code, particularly C# scripts. Despite slow token generation, the model demonstrates strong debugging skills by identifying syntax errors and explaining script components thoroughly. The model is best suited for debugging and explaining code rather than code generation. Overall, the presenter finds the model interesting and useful for debugging assistance, highlighting its unique training approach and practical utility.