llm.c
LLM training in simple, raw C/CUDA (by karpathy)
hidet
An open-source efficient deep learning framework/compiler, written in python. (by hidet-org)
llm.c | hidet | |
---|---|---|
5 | 3 | |
18,963 | 623 | |
- | 2.4% | |
9.8 | 8.8 | |
1 day ago | 6 days ago | |
Cuda | Python | |
MIT License | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
llm.c
Posts with mentions or reviews of llm.c.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-04-08.
- Llm.c State of the Union
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Ask HN: Yo Nephew, in E. Africa, wants to train an LLM with on disk Wikipedia
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https://github.com/karpathy/llm.c
It is only 1,000 lines of easy to read C code.
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llm.c is now down to 26.2ms/iteration, matching PyTorch
I'm not grasping the significance of this. I see a repo called llm.c, https://github.com/karpathy/llm.c, is the main selling point that PyTorch is a large download and this isn't... or are there other problems with PyTorch? I thought the appeal of PyTorch is its accessibility and documentation.
- Layernorm
- karpathy/llm.c
hidet
Posts with mentions or reviews of hidet.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-04-08.
-
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
What are some alternatives?
When comparing llm.c and hidet you can also consider the following projects:
richard - Richard is gaining power
ColossalAI - Making large AI models cheaper, faster and more accessible
DeepSpeed - DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.