LLM Compiler-7b is a large language model focused on code optimization and compiler inference, developed by Meta. Based on the Code Llama model, it utilizes deep learning to optimize code, supporting understanding of compiler intermediate representations, assembly language, and optimized code. This model demonstrates excellent performance in reducing code size and in reverse compilation from assembly to compiler intermediate representations, serving as a powerful tool for compiler researchers and engineers.