Model card
morph-v3-fast is a specialized inference model engineered specifically for high-speed code transformations. Unlike general-purpose LLMs that attempt to rewrite entire files, this model is optimized for 'apply' operations—taking specific edit snippets and merging them into existing codebases with high precision. It operates at a throughput of approximately 10,500 tokens per second, making it ideal for real-time IDE integrations, automated refactoring pipelines, and large-scale codebase migrations where latency is a critical bottleneck. The model utilizes a strict XML-based prompting schema involving instruction, initial code, and update tags to ensure structural integrity during the merge process. With a 96% accuracy rate on targeted edits and an 8k context window, it functions less like a chatbot and more like a high-performance compiler backend for programmatic code modification.
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