Codellama-34b, as an AI model, can be integrated into a plethora of distinctive use cases given its powerful coding and conversational capabilities. The model can be used in the development of educational applications aimed at teaching programming to students, as it can interpret prompts and generate codes in response. Its text-to-text processing feature can also be harnessed by companies to facilitate the automatic translation of technical jargon into simple, layman terms, making it useful in customer service chatbots or interfaces. Furthermore, it could be utilized in programming tools where it could provide real-time code suggestions or corrections. In an innovation context, this model could be instrumental in creating a voice-to-code application where verbal coding instructions get converted into syntactically correct code. Additionally, because of its conversational abilities, the model could assist developers in brainstorming sessions by producing code snippets based on verbalized ideas.
- 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 34b|
A 34 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||-|