flake
llama_cpp.rb
| flake | llama_cpp.rb | |
|---|---|---|
| 5 | 2 | |
| 593 | 143 | |
| 3.9% | - | |
| 4.4 | 9.6 | |
| 7 days ago | 5 days ago | |
| Nix | C++ | |
| GNU Affero General Public License v3.0 | MIT License |
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flake
- Running AI Models on NixOS
- Nixified.Ai Release 2
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Llama.cpp: Full CUDA GPU Acceleration
> Ideally, there's Nix (and poetry2nix) that could take care of everything, but only a few folks write Flakes for their projects.
Relevant to "AI, Python, setting up is hard ... nix", there's stuff like:
https://github.com/nixified-ai/flake
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Can you substitute conda with Nix for Data Science and ML/AI?
However, I would reach out to the Nixified.ai folks about it, because I can see that the invoke.ai build script mentions pytorch and several other hard-to-install packages (albeit not detectron).
- A Nix flake for many AI projects
llama_cpp.rb
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Llama.cpp: Full CUDA GPU Acceleration
Python sits on the C-glue segment of programming languages (where Perl, PHP, Ruby and Node are also notable members). Being a glue language means having APIs to a lot of external toolchains written in not only C/C++ but many other compiled languages, APIs and system resources. Conda, virtualenv, etc. are godsend modules for making it all work, or even better, to freeze things once they all work, without resourcing to Docker, VMs or shell scripts. It's meant for application and DevOps people who need to slap together, ie, ML, Numpy, Elasticsearch, AWS APIs and REST endpoints and Get $hit Done.
It's annoying to see them "glueys" compared to the binary compiled segment where the heavy lifting is done. Python and others exist to latch on and assimilate. Resistance is futile:
https://pypi.org/project/pyllamacpp/
https://www.npmjs.com/package/llama-node
https://packagist.org/packages/kambo/llama-cpp-php
https://github.com/yoshoku/llama_cpp.rb
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Could I get a suggestion for a simple HTTP API with no GUI for llama.cpp?
Ruby: yoshoku/llama_cpp.rb
What are some alternatives?
nonguix - Nonguix mirror – pull requests ignored, please use upstream for that
go-llama.cpp - LLama.cpp golang bindings
guix-nonfree - Unofficial collection of packages that are not going to be accepted in to guix
llama.cpp-dotnet - Minimal C# bindings for llama.cpp + .NET core library with API host/client.
lit-llama - Implementation of the LLaMA language model based on nanoGPT. Supports flash attention, Int8 and GPTQ 4bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.
LLamaSharp - A C#/.NET library to run LLM models (🦙LLaMA/LLaVA) on your local device efficiently.
serving - A flexible, high-performance serving system for machine learning models
llama-cpp.el - A client for llama-cpp server
guix-nonfree
llama-go - Port of Facebook's LLaMA (Large Language Model Meta AI) in Golang with embedded C/C++
TokenHawk - WebGPU LLM inference tuned by hand [Moved to: https://github.com/kayvr/token-hawk]
llama.cpp - LLM inference in C/C++