The codellama-7b AI model, with its 7 billion parameter Llama, has a clear potential for tasks that involve conversion of text-to-text, especially in contexts where understanding and creation of coding sequences is required. The model seems to be proficient in generating meaningful functions in response to the prompts provided, suggesting potential use in education, application development, and debugging. In terms of concrete uses, this model could be deployed as a coding assistant for programmers, helping to translate complex coding sequences, generate new ones, and even help in the debugging process by suggesting possible fixes for broken code. Educational platforms could also utilize it to provide students with examples of functions or other coding structures in multiple programming languages. Additionally, it could be used in software development tools to generate template code, accelerating the development process. The model could even be integrated into conversational interfaces on development platforms, making it easier for developers to translate their ideas into executable code by simply describing their desired outcomes. Overall, the possibilities are vast for a model such as codellama-7b in the ever-growing field of software development and coding education.
- Cost per run
- Avg run time
|Llama 2 13b||$?||17,926|
|Llama 2 13b Chat||$?||1,592,213|
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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||-|