gpt-neox VS Open-Assistant

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

gpt-neox

An implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library. (by EleutherAI)

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)
Our great sponsors
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • WorkOS - The modern identity platform for B2B SaaS
  • SaaSHub - Software Alternatives and Reviews
gpt-neox Open-Assistant
52 329
6,569 36,647
2.2% 0.7%
8.9 8.3
4 days ago 3 days 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.

gpt-neox

Posts with mentions or reviews of gpt-neox. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-02-26.

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 gpt-neox and Open-Assistant you can also consider the following projects:

fairseq - Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

KoboldAI-Client

gpt-neo - An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.

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

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

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

YaLM-100B - Pretrained language model with 100B parameters

llama - Inference code for Llama models

open-ai - OpenAI PHP SDK : Most downloaded, forked, contributed, huge community supported, and used PHP (Laravel , Symfony, Yii, Cake PHP or any PHP framework) SDK for OpenAI GPT-3 and DALL-E. It also supports chatGPT-like streaming. (ChatGPT AI is supported)

gpt4all - gpt4all: run open-source LLMs anywhere

lm-evaluation-harness - A framework for few-shot evaluation of language models.

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