Dolly V2 12b
Dolly-v2-12b has a wide range of possible use cases in various industries. In the field of customer service, the model can be utilized as a chatbot to provide accurate and helpful responses to customer queries. It can also be integrated into virtual assistants and communication platforms to improve natural language processing and understanding. In the education sector, Dolly-v2-12b can serve as a learning companion for students, answering questions and explaining complex concepts. The model can also assist in content generation for writers, offering suggestions and producing drafts based on given prompts. Additionally, it can be leveraged in the research and development domain to quickly extract key information from large text datasets or assist in data analysis tasks. Possible products and practical uses for this AI model include creating advanced conversational AI agents, enhancing language processing capabilities in search engines, enabling better content creation tools, and developing automated assistants for various industries such as healthcare, finance, and legal services.
- Cost per run
- Avg run time
- Nvidia A100 (40GB) GPU
|Flan T5 Xl||$0.0046||98,942|
|Llama 2 7b||$?||5,325|
You can use this area to play around with demo applications that incorporate the Dolly V2 12b model. These demos are maintained and hosted externally by third-party creators. If you see an error, message me on Twitter.
Currently, there are no demos available for this model.
Summary of this model and related resources.
|Model Name||Dolly V2 12b|
An open source instruction-tuned large language model developed by Databric...Read more »
|Model Link||View on Replicate|
|API Spec||View on Replicate|
|Github Link||View on Github|
|Paper Link||View on Arxiv|
How popular is this model, by number of runs? How popular is the creator, by the sum of all their runs?
How much does it cost to run this model? How long, on average, does it take to complete a run?
|Cost per Run||$0.0184|
|Prediction Hardware||Nvidia A100 (40GB) GPU|
|Average Completion Time||8 seconds|