pyllama VS chatllama

Compare pyllama vs chatllama and see what are their differences.

pyllama

LLaMA: Open and Efficient Foundation Language Models (by juncongmoo)

chatllama

ChatLLaMA 📢 Open source implementation for LLaMA-based ChatGPT runnable in a single GPU. 15x faster training process than ChatGPT (by juncongmoo)
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pyllama chatllama
5 3
2,789 1,180
- -
5.0 2.3
6 months ago about 1 year ago
Python Python
GNU General Public License v3.0 only -
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.

pyllama

Posts with mentions or reviews of pyllama. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-29.

chatllama

Posts with mentions or reviews of chatllama. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-22.

What are some alternatives?

When comparing pyllama and chatllama you can also consider the following projects:

playground - Play with neural networks!

tortoise-tts-fast - Fast TorToiSe inference (5x or your money back!)

semantic-kernel - Integrate cutting-edge LLM technology quickly and easily into your apps

alpaca-7b-truss

clip-interrogator - Image to prompt with BLIP and CLIP

llm - An ecosystem of Rust libraries for working with large language models

GPTQ-for-LLaMa - 4 bits quantization of LLaMA using GPTQ

dspy - DSPy: The framework for programming—not prompting—foundation models

llama.cpp - LLM inference in C/C++

alpaca.cpp - Locally run an Instruction-Tuned Chat-Style LLM

serge - A web interface for chatting with Alpaca through llama.cpp. Fully dockerized, with an easy to use API.