The codellama-7b AI model, with its 7 billion parameter Llama tuned for coding and conversation, offers a myriad of exciting use cases. Such a model can be instrumental in developing intelligent coding assistance tools and platforms, aiding experienced developers by automating routine tasks and helping beginners learn coding through interactive dialogue. It can be used in educational technology to provide personalized tutoring on coding problems, offering insights and solutions in a conversational style. This technology can also be leveraged to create an error prediction tool that uses AI to predict and correct potential coding errors based on the input, thus increasing efficiency and reducing debugging time. Moreover, the model could be employed in the field of automated software testing, where it can generate test scenarios from the code and predict possible errors, optimizing the process of quality assurance. Furthermore, companies could utilize this model in their customer support chatbots for dealing with technical issues related to software or coding. This could reduce reliance on human customer support, leading to faster resolution of issues and improved customer satisfaction.
- Cost per run
- Avg run time
|Llama 2 13b||$?||17,926|
|Llama 2 13b Chat||$?||1,592,213|
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Currently, there are no demos available for this model.
Summary of this model and related resources.
|Model Name||Codellama 7b|
A 7 billion parameter Llama tuned for coding and conversation
|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||$-|
|Average Completion Time||-|