mamba
spack
mamba | spack | |
---|---|---|
15 | 52 | |
9,506 | 3,969 | |
15.3% | 1.6% | |
8.1 | 10.0 | |
6 days ago | 2 days ago | |
Python | Python | |
Apache License 2.0 | Apache-2.0 or MIT |
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.
mamba
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Based: Simple linear attention language models
> how the recall can grow unbounded with no tradeoff
this? https://github.com/state-spaces/mamba/issues/175
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Mamba: The Easy Way
If you want to learn this stuff as a computer engineer, you can read the code here [0]. I find the math quite helpful.
[0]: https://github.com/state-spaces/mamba
- FLaNK Stack 05 Feb 2024
- Introduction to State Space Models (SSM)
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Fortran inference code for the Mamba state space language model
This model was discussed recently: https://news.ycombinator.com/item?id=38522428 It's a new kind of ML model architecture that can be used instead of a transformer in LLMs.
See also the original repo from the paper: https://github.com/state-spaces/mamba
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Mamba outperforms transformers "everywhere we tried"
[2] - https://github.com/state-spaces/mamba
Out of curiosity, does anyone feel as though there's any benefit to linking to reddit when we can link to whatever the link is? I for one do not click the link and read discussion on reddit - if I wanted that sort of discussion, I would browse there, not HN.
- GitHub – State-Spaces/Mamba
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Generate valid JSON with Mamba models
The library is compatible with any auto-regressive model, not transformers. To prove our point we integrated Mamba, a new state-space model architecture, to the library. Try it out!
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[D] Thoughts on Mamba?
I ran the NanoGPT of Karparthy replacing Self-Attention with Mamba on his TinyShakespeare Dataset and within 5 minutes it started spitting out the following:
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Mamba-Chat: A Chat LLM based on State Space Models
You might have come across the paper Mamba paper in the last days, which was the first attempt at scaling up state space models to 2.8B parameters to work on language data.
spack
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Autodafe: "freeing your freeing your project from the clammy grip of autotools."
> Are we talking about the same autotools?
Yes. Instead of figuring out how to do something particular with every single software package, I can do a --with-foo or --without-bar or --prefix=/opt/baz-1.2.3, and be fairly confident that it will work the way I want.
Certainly with package managers or (FreeBSD) Ports a lot is taken care of behind the scenes, but the above would also help the package/port maintainers as well. Lately I've been using Spack for special-needs compiles, but maintainer ease also helps there, but there are still cases one a 'fully manual' compile is still done.
> Suffice it to say, I prefer to work with handwritten makefiles.
Having everyone 'roll their own' system would probably be worse, because any "mysteriously failure" then has to be debugged specially for each project.
Have you tried Spack?
* https://spack.io
* https://spack.readthedocs.io/en/latest/
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FreeBSD has a(nother) new C compiler: Intel oneAPI DPC++/C++
Well, good luck with that, cause it's broken.
Previous release miscompiled Python [1]
Current release miscompiles bison [2]
[1] https://github.com/spack/spack/issues/38724
[2] https://github.com/spack/spack/issues/37172#issuecomment-181...
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Essential Command Line Tools for Developers
gh is available via Homebrew, MacPorts, Conda, Spack, Webi, and as a…
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The Curious Case of MD5
> I can't count the number of times I've seen people say "md5 is fine for use case xyz" where in some counterintuitive way it wasn't fine.
I can count many more times that people told me that md5 was "broken" for file verification when, in fact, it never has been.
My main gripe with the article is that it portrays the entire legal profession as "backwards" and "deeply negligent" when they're not actually doing anything unsafe -- or even likely to be unsafe. And "tech" knows better. Much of tech, it would seem, has no idea about the use cases and why one might be safe or not. They just know something's "broken" -- so, clearly, we should update.
> Just use a safe one, even if you think you "don't need it".
Here's me switching 5,700 or so hashes from md5 to sha256 in 2019: https://github.com/spack/spack/pull/13185
Did I need it? No. Am I "compliant"? Yes.
Really, though, the main tangible benefit was that it saved me having to respond to questions and uninformed criticism from people unnecessarily worried about md5 checksums.
- Spack Package Manager v0.21.0
- Show HN: FlakeHub – Discover and publish Nix flakes
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Nixhub: Search Historical Versions of Nix Packages
[1] https://github.com/spack/spack/blob/develop/var/spack/repos/...
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Cython 3.0 Released
In Spack [1] we can express all these constraints for the dependency solver, and we also try to always re-cythonize sources. The latter is because bundled cythonized files are sometimes forward incompatible with Python, so it's better to just regenerate those with an up to date cython.
[1] https://github.com/spack/spack/
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Linux server for physics simulations
You want to look at the tools used for HPC systems, these are generally very well tried and tested and can be setup for single machine usage. Remote access - we use ssh, but web interfaces such as Open On Demand exist - https://openondemand.org/. For managing Jobs, Slurm is currently the most popular option - https://slurm.schedmd.com/documentation.html. For a module system (to load software and libraries per user), Spack is a great - https://spack.io/. You might also want to consider containerisation options, https://apptainer.org/ is a good option.
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Simplest way to get latest gcc for any platform ?
git clone https://github.com/spack/spack.git ./spack/bin/spack install gcc
What are some alternatives?
miniforge - A conda-forge distribution.
HomeBrew - 🍺 The missing package manager for macOS (or Linux)
pip - The Python package installer
nixpkgs - Nix Packages collection & NixOS
llm.f90 - LLM inference in Fortran
nix-processmgmt - Experimental Nix-based process management framework
conda - A system-level, binary package and environment manager running on all major operating systems and platforms.
Ansible - Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy and maintain. Automate everything from code deployment to network configuration to cloud management, in a language that approaches plain English, using SSH, with no agents to install on remote systems. https://docs.ansible.com.
mamba-chat - Mamba-Chat: A chat LLM based on the state-space model architecture 🐍
ohpc - OpenHPC Integration, Packaging, and Test Repo
pyenv - Simple Python version management
NixOS-docker - DEPRECATED! Dockerfiles to package Nix in a minimal docker container