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License: MIT License
Simple, lightweight transformers in Fortran
License: MIT License
Currently no performance optimizations have been included in the code. I started benchmarking the performance against HF transformers (which I think is the fair comparison for this project, and vs llama.cpp for the llama.f90 code *). Results (in /benchmark
) show that on my computers it's slower with linux+openblas and faster with MacOS+accelerate, though Fortran starts up and loads the weights faster. We'll see how that changes with any optimizations.
Current potential changes:
spread
and add bias weights without copying* There is also this using GGML for embeddings but it's GPU focused https://bloop.ai/blog/gpu_with_ggml
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