LLM Compiler-13b-ftd

Advanced compiler optimization large language model

CommonProductProgrammingCompiler OptimizationDeep Learning

Meta Large Language Model Compiler (LLM Compiler-13b-ftd) is an advanced large language model based on Code Llama, focused on compiler optimization and code reasoning. It exhibits exceptional performance in predicting LLVM optimization effects and assembly code decompilation, enabling significant improvements in code efficiency and size reduction.

Predict the impact of LLVM optimizations on code size
Generate an optimization pass list that minimizes code size
Generate LLVM IR from x86_64 or ARM assembly code
Achieve near-perfect output duplication in compiler optimization tasks
Offer 7B and 13B parameter models to cater to diverse service and latency requirements
Adhere to Meta's license and acceptable use policies

LLM Compiler is primarily geared towards compilers researchers and engineers
as well as developers looking to optimize their code. It is designed for professionals seeking to enhance code efficiency and reduce application size through deep learning techniques.

Optimize the size of code generated by the compiler in the intermediate representation (IR).
Predict the optimal sequence of optimization passes when developing new compiler technologies.
Decompile assembly code into LLVM IR for further code analysis and optimization.

Install necessary libraries
such as transformers.
Load the tokenizer from the pre-trained model using AutoTokenizer.
Create a transformers.pipeline to set up the text generation pipeline.
Pass code snippets through the pipeline and configure generation parameters like do_sample and top_k.

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