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Average Ratings 0 Ratings
Description
Instruction-following models like GPT-3.5 (text-DaVinci-003), ChatGPT, Claude, and Bing Chat have seen significant advancements in their capabilities, leading to a rise in their usage among individuals in both personal and professional contexts. Despite their growing popularity and integration into daily tasks, these models are not without their shortcomings, as they can sometimes disseminate inaccurate information, reinforce harmful stereotypes, and use inappropriate language. To effectively tackle these critical issues, it is essential for researchers and scholars to become actively involved in exploring these models further. However, conducting research on instruction-following models within academic settings has posed challenges due to the unavailability of models with comparable functionality to proprietary options like OpenAI’s text-DaVinci-003. In response to this gap, we are presenting our insights on an instruction-following language model named Alpaca, which has been fine-tuned from Meta’s LLaMA 7B model, aiming to contribute to the discourse and development in this field. This initiative represents a step towards enhancing the understanding and capabilities of instruction-following models in a more accessible manner for researchers.
Description
Teuken-7B is a multilingual language model that has been developed as part of the OpenGPT-X initiative, specifically tailored to meet the needs of Europe's varied linguistic environment. This model has been trained on a dataset where over half consists of non-English texts, covering all 24 official languages of the European Union, which ensures it performs well across these languages. A significant advancement in Teuken-7B is its unique multilingual tokenizer, which has been fine-tuned for European languages, leading to enhanced training efficiency and lower inference costs when compared to conventional monolingual tokenizers. Users can access two versions of the model: Teuken-7B-Base, which serves as the basic pre-trained version, and Teuken-7B-Instruct, which has received instruction tuning aimed at boosting its ability to respond to user requests. Both models are readily available on Hugging Face, fostering an environment of transparency and collaboration within the artificial intelligence community while also encouraging further innovation. The creation of Teuken-7B highlights a dedication to developing AI solutions that embrace and represent the rich diversity found across Europe.
API Access
Has API
No
API Access
Has API
No
Integrations
BERT
Yes
ChatGPT
Yes
Dolly
Yes
GPT-4
Yes
Hugging Face
No
Llama
Yes
Ludwig
Yes
Stable LM
Yes
Integrations
BERT
No
ChatGPT
No
Dolly
No
GPT-4
No
Hugging Face
Yes
Llama
No
Ludwig
No
Stable LM
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Stanford Center for Research on Foundation Models (CRFM)
Country
United States
Website
crfm.stanford.edu/2023/03/13/alpaca.html
Vendor Details
Company Name
OpenGPT-X
Founded
2022
Country
Germany
Website
opengpt-x.de/en/models/teuken-7b/