I'm mostly a python programmer, but I find a lot of the ML frameworks are overkill for what they actually do, especially for inference. Fortran is pretty close

I'm mostly a python programmer, but I find a lot of the ML frameworks are overkill for what they actually do, especially for inference. Fortran is pretty close to numpy - it handles arrays natively including slicing and matmul instinsics, you don't have to worry about memory etc. But it compiles into something fast and lightweight much more easily than python. It's nothing you couldn't do in C but I think Fortran is better suited for linear algebra. See also https://github.com/rbitr/llama2.f90 https://github.com/rbitr/llama2.f90 which is basically the same thing but for running llama models and has 16-bit and 4-bit options and a lot more optimization.