optimum VS Open-Assistant

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

optimum

🚀 Accelerate training and inference of 🤗 Transformers and 🤗 Diffusers with easy to use hardware optimization tools (by huggingface)

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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optimum Open-Assistant
8 329
2,209 36,728
5.6% 0.5%
9.5 8.3
about 11 hours ago 17 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.

optimum

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

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

FasterTransformer - Transformer related optimization, including BERT, GPT

KoboldAI-Client

transformer-deploy - Efficient, scalable and enterprise-grade CPU/GPU inference server for 🤗 Hugging Face transformer models 🚀

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

safetensors - Simple, safe way to store and distribute tensors

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

TensorRT - NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.

llama - Inference code for Llama models

text-generation-inference - Large Language Model Text Generation Inference

gpt4all - gpt4all: run open-source LLMs anywhere

kernl - Kernl lets you run PyTorch transformer models several times faster on GPU with a single line of code, and is designed to be easily hackable.

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