Open-Assistant VS StableLM

Compare Open-Assistant vs StableLM 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)

StableLM

StableLM: Stability AI Language Models (by Stability-AI)
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Open-Assistant StableLM
329 43
36,622 15,853
0.7% 0.3%
9.1 5.0
about 1 month ago 20 days ago
Python Jupyter Notebook
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.

StableLM

Posts with mentions or reviews of StableLM. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-02-28.

What are some alternatives?

When comparing Open-Assistant and StableLM 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.

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

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

llama - Inference code for Llama models

ggml - Tensor library for machine learning

gpt4all - gpt4all: run open-source LLMs anywhere

alpaca_lora_4bit

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