A 21M-parameter LM with a 16.8M-row product-key memory: as good as a 114M dense model and runs with the table on an SSD. Triton kernels for ROCm and CUDA.
What is the re133/sparse-memory-lm GitHub project? Description: "A 21M-parameter LM with a 16.8M-row product-key memory: as good as a 114M dense model and runs with the table on an SSD. Triton kernels for ROCm and CUDA.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.
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