The instructblip-vicuna13b model has numerous potential use cases in a variety of industries. In the manufacturing sector, it could be used to generate step-by-step instructions for assembling complex machinery or equipment. In the healthcare field, it could assist in providing clear and concise instructions for medical procedures or medication administration. For e-commerce platforms, it could generate detailed product usage instructions or assembly guides. In the education sector, it could be used to create interactive lesson plans or provide guidance on complex concepts. Additionally, this model could be integrated into virtual assistants or chatbots to enhance their ability to provide accurate and helpful instructions in response to user queries. Overall, the instructblip-vicuna13b model has the potential to streamline and improve various instruction-based processes in a wide range of domains.
- Cost per run
- Avg run time
- Nvidia A100 (40GB) GPU
|Zephyr 7b Alpha||$?||3,019|
|Falcon 40b Instruct||$?||30,603|
You can use this area to play around with demo applications that incorporate the Instructblip Vicuna13b 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||Instructblip Vicuna13b|
An instruction-tuned multi-modal model based on BLIP-2 and Vicuna-13B
|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||$0.0138|
|Prediction Hardware||Nvidia A100 (40GB) GPU|
|Average Completion Time||6 seconds|