gpu_poor VS LLamaStack

Compare gpu_poor vs LLamaStack and see what are their differences.

gpu_poor

Calculate token/s & GPU memory requirement for any LLM. Supports llama.cpp/ggml/bnb/QLoRA quantization (by RahulSChand)

LLamaStack

ASP.NET Core Web, WebApi & WPF implementations for LLama.cpp & LLamaSharp (by saddam213)
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gpu_poor LLamaStack
3 1
650 32
- -
8.3 10.0
7 months ago 6 months ago
JavaScript C#
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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.

gpu_poor

Posts with mentions or reviews of gpu_poor. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-11-26.

LLamaStack

Posts with mentions or reviews of LLamaStack. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing gpu_poor and LLamaStack you can also consider the following projects:

chatd - Chat with your documents using local AI

LLamaSharp - A C#/.NET library to run LLM models (🦙LLaMA/LLaVA) on your local device efficiently.

llama.net - .NET wrapper for LLaMA.cpp for LLaMA language model inference on CPU. 🦙

llama.go - llama.go is like llama.cpp in pure Golang!

chitchat - A simple LLM chat front-end that makes it easy to find, download, and mess around with models on your local machine.

langchain-alpaca - Run Alpaca LLM in LangChain

Pacha - "Pacha" TUI (Text User Interface) is a JavaScript application that utilizes the "blessed" library. It serves as a frontend for llama.cpp and provides a convenient and straightforward way to perform inference using local language models.

code-llama-for-vscode - Use Code Llama with Visual Studio Code and the Continue extension. A local LLM alternative to GitHub Copilot.

PerroPastor - Run Llama based LLMs in Unity entirely in compute shaders with no dependencies