Open-Assistant VS FlexGen

Compare Open-Assistant vs FlexGen 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)

FlexGen

Running large language models like OPT-175B/GPT-3 on a single GPU. Focusing on high-throughput generation. [Moved to: https://github.com/FMInference/FlexGen] (by Ying1123)
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Open-Assistant FlexGen
329 19
36,647 5,350
0.3% -
8.3 10.0
9 days ago about 1 year 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.

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.

FlexGen

Posts with mentions or reviews of FlexGen. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-16.

What are some alternatives?

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

KoboldAI-Client

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

CTranslate2 - Fast inference engine for Transformer models

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

ggml - Tensor library for machine learning

llama - Inference code for Llama models

accelerate - 🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support

gpt4all - gpt4all: run open-source LLMs anywhere

rust-bert - Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)

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