Llama 2 7b Chat
Llama-2-7b-chat has the potential to be used in a wide range of applications. For example, it can be integrated into chatbots and virtual assistants to enhance their conversational capabilities. Users can interact with these systems in a more engaging and natural way, receiving accurate and helpful responses to their queries. The model can also be leveraged in customer support systems, where it can provide instant and contextual support to customers, addressing their concerns and guiding them towards relevant solutions. Additionally, Llama-2-7b-chat can be utilized in language translation tools, enabling seamless and accurate communication between different languages. Its ability to generate human-like responses makes it suitable for applications that require interactive conversations and personalized interactions, such as e-learning platforms, content recommendation systems, and even interactive storytelling applications.
- Cost per run
- Avg run time
|Vicuna 13b V1.3||$?||490|
|Wizardcoder 15b V1||$?||459|
|Realistic Vision V4.0||$?||34,495|
You can use this area to play around with demo applications that incorporate the Llama 2 7b Chat model. These demos are maintained and hosted externally by third-party creators. If you see an error, message me on Twitter.
Currently, there are no demos available for this model.
Summary of this model and related resources.
|Model Name||Llama 2 7b Chat|
Meta's Llama 2 7b Chat - GPTQ
|Model Link||View on Replicate|
|API Spec||View on Replicate|
|Github Link||View on Github|
|Paper Link||View on Arxiv|
How popular is this model, by number of runs? How popular is the creator, by the sum of all their runs?
How much does it cost to run this model? How long, on average, does it take to complete a run?
|Cost per Run||$-|
|Average Completion Time||-|