text-generation-inference VS Open-Assistant

Compare text-generation-inference 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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text-generation-inference Open-Assistant
29 329
7,881 36,647
6.2% 0.3%
9.6 8.3
6 days ago 7 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.
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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.

text-generation-inference

Posts with mentions or reviews of text-generation-inference. 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 text-generation-inference and Open-Assistant you can also consider the following projects:

llama-cpp-python - Python bindings for llama.cpp

KoboldAI-Client

ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.

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

exllama - A more memory-efficient rewrite of the HF transformers implementation of Llama for use with quantized weights.

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

basaran - Basaran is an open-source alternative to the OpenAI text completion API. It provides a compatible streaming API for your Hugging Face Transformers-based text generation models.

llama - Inference code for Llama models

FlexGen - Running large language models on a single GPU for throughput-oriented scenarios.

gpt4all - gpt4all: run open-source LLMs anywhere

vllm - A high-throughput and memory-efficient inference and serving engine for LLMs

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