ColossalAI VS Open-Assistant

Compare ColossalAI vs Open-Assistant and see what are their differences.

Open-Assistant

OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so. (by LAION-AI)
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ColossalAI Open-Assistant
42 329
37,836 36,622
3.7% 0.7%
9.7 9.1
3 days ago about 1 month ago
Python Python
Apache License 2.0 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.

ColossalAI

Posts with mentions or reviews of ColossalAI. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-04-22.

Open-Assistant

Posts with mentions or reviews of Open-Assistant. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-08.

What are some alternatives?

When comparing ColossalAI and Open-Assistant you can also consider the following projects:

DeepSpeed - DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

KoboldAI-Client

Megatron-LM - Ongoing research training transformer models at scale

text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.

determined - Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.

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

fairscale - PyTorch extensions for high performance and large scale training.

llama - Inference code for Llama models

DeepFaceLive - Real-time face swap for PC streaming or video calls

gpt4all - gpt4all: run open-source LLMs anywhere

PaddlePaddle - PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)

stanford_alpaca - Code and documentation to train Stanford's Alpaca models, and generate the data.