LLM Reference

Open-Assistant Models by OpenAssistant

OpenAssistantApache 2.0
1 model2023Up to 2k ctx

About

OpenAssistant, developed by LAION, is a family of open-source large language models (LLMs) designed to serve as accessible, powerful chat-based assistants akin to models like ChatGPT and GPT-4. The initiative focused on broad accessibility, including commercial use, setting it apart from other open-source LLMs with limited licenses. These models were trained on a vast dataset gathered through a community effort with over 13,000 volunteers contributing more than 600,000 interactions. The training regimen included supervised fine-tuning and reinforcement learning from human feedback, enhancing the models' ability to follow instructions and be helpful. Although the project has ended, the models and datasets remain available for public use. Some models, however, might be based on more restricted models like LLaMA 67810.

Current Variants

Use-when guidance is derived from seed capabilities, context, release, and replacement fields.

1 in view

Use when the workload needs 2k context and 12B parameters.

2023-042k context12B parameters

Release Timeline

1 release group
2023-04
1 current
Open-Assistant SFT-1 12B
2k context12B parameters
Current

Specifications(1 models)

Open-Assistant model specifications comparison
ModelReleasedContextParameters
Open-Assistant SFT-1 12B2023-042k12B

Available From(1 provider)

Frequently Asked Questions

What is Open-Assistant used for?
OpenAssistant, developed by LAION, is a family of open-source large language models (LLMs) designed to serve as accessible, powerful chat-based assistants akin to models like ChatGPT and GPT-4.
How does Open-Assistant compare to Claude 3?
Open-Assistant by OpenAssistant is strongest where you need its listed use cases, while Claude 3 by Anthropic is the closest related family to check for vision and multimodal work. Open-Assistant has 1 listed variant and reaches up to 2k context, while Claude 3 reaches up to 200k context, so compare the specs and pricing tables before choosing a production model.
Which Open-Assistant model should I use?
If price is the main constraint, use the pricing table first because Open-Assistant does not have complete provider pricing in the local data. For the most capable/latest local choice, evaluate Open-Assistant SFT-1 12B with 2k context.

Models(1)