facebook/KernelLLM is an 8 billion parameter large language model, based on Llama 3.1 Instruct, specifically fine-tuned by Meta for authoring GPU kernels using Triton. It translates PyTorch modules into efficient Triton kernel implementations, aiming to democratize GPU programming. The model demonstrates competitive or superior performance on kernel generation tasks compared to much larger models, as evaluated on KernelBench-Triton.
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