Thanks! Indeed, I agree that the project has an educational aspect and value. For me, it helped me get a better understanding of the neural network layers involved in the transformer model. Also, it was a good playground to practice my low-level optimization techniques. I guess another cool thing was that with the help of the community, we came up with a faster way to evaluate the Encoder (at the cost of some accuracy), which ultimately enabled the WASM and RPi4 examples (see #137 if interested in the discussion).