hidet
rwkv.f90
hidet | rwkv.f90 | |
---|---|---|
3 | 2 | |
615 | 39 | |
1.1% | - | |
8.8 | 8.6 | |
about 1 month ago | 7 months ago | |
Python | Fortran | |
Apache License 2.0 | MIT License |
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hidet
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karpathy/llm.c
Check out Hidet [1]. Not as well funded, but delivers Python based ML acceleration with GPU support (unlike Mojo).
[1] https://github.com/hidet-org/hidet
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A PyTorch Approach to ML Infrastructure
Thanks for your comment ! Current focus of optimizations is for Nvidia GPUs but others are in the works. Hidet comes with Hidet.Script which abstracts some of the CUDA struggles and may make the ML optimizations efforts easier to implement. It is still evolving so documentation is limited but here are some examples: https://github.com/hidet-org/hidet/tree/main/python/hidet/gr...
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Hidet: A Deep Learning Compiler for Efficient Model Serving
Hey @bructhemoose2 can you file an issue, we will try to fix it ASAP: https://github.com/hidet-org/hidet/issues
rwkv.f90
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karpathy/llm.c
I'm the creator behind https://github.com/nlpodyssey/rwkv.f90. How about joining forces?
- Fortran 2023 has been published
What are some alternatives?
ColossalAI - Making large AI models cheaper, faster and more accessible
llm.f90 - LLM inference in Fortran
DeepSpeed - DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
fastGPT - Fast GPT-2 inference written in Fortran
inference-engine - A deep learning library for use in high-performance computing applications in modern Fortran
fortran-wringer-tests - A collection of non-portable Fortran usage, standard-conformant or otherwise
ClimaCore.jl - CliMA model dycore
neural-fortran - A parallel framework for deep learning
Fortran-code-on-GitHub - Directory of Fortran codes on GitHub, arranged by topic
llvm-project - The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.