llama2.f90
pandian-raja
| llama2.f90 | pandian-raja | |
|---|---|---|
| 7 | 1 | |
| 16 | - | |
| - | - | |
| 10.0 | - | |
| 6 months ago | - | |
| Fortran | ||
| MIT License | - |
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llama2.f90
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GPU Embedding with GGML
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 which is basically the same thing but for running llama models and has 16-bit and 4-bit options and a lot more optimization.
- GitHub - rbitr/llama2.f90: LLaMA2 model in Fortran
- LLaMA2 Model Inference in Fortran
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Is Mojo the Fortran for AI Programming, or More? – The Next Platform
I clicked on this because of Fortran and it had nothing to do with it. It was more an advertisement for Mojo.
If anyone is interested in Fortran for AI, I am working on a Fortran LLM project: https://github.com/rbitr/llama2.f90
- Show HN: Llama2.f90 – Toy LLaMA2 model inference in Fortran
- Ask HN: Who wants to be hired? (September 2023)
pandian-raja
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Ask HN: Who wants to be hired? (September 2023)
Résumé/CV: https://github.com/pandian-raja/pandian-raja.github.io/blob/...
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