Overview
This is a repackaged open-source software product wherein additional charges apply for technical support and maintenance by Apps4Rent.
The Llama2-7B-Chat on Ubuntu20.04LTS pre-configured image is a great way to deploy a chat application on an Ubuntu 20.04 LTS server. The image includes all of the necessary software for the chat application, as well as a number of security features. The image is easy to deploy and use, and it can be up and running in minutes.
Sure. Llama2-7B is a large language model chatbot developed by Meta. It is a generative pre-trained transformer model that has been trained on a massive dataset of text and code. Llama2-7B can generate text, translate languages, write different kinds of creative content, and answer your questions in an informative way.
Disclaimer: The respective trademarks mentioned in the offering are owned by the respective companies. We do not provide the commercial license of any of these products. Many of the products have a free, demo or Open-Source license as applicable. Image may take up to 5-7 minutes for initial launch.
Highlights
- It is a large language model, which means that it has been trained on a massive dataset of text and code. This allows it to generate more realistic and informative text than smaller language models.
- It is a generative model, which means that it can generate new text, translate languages, and write different kinds of creative content. This makes it a powerful tool for a variety of applications, such as content generation, translation, and creative writing.
- For any custom build AMI's of your choice contact us on "support@apps4rent.com".
Details
Typical total price
$0.388/hour
Features and programs
Financing for AWS Marketplace purchases
Pricing
- ...
Instance type | Product cost/hour | EC2 cost/hour | Total/hour |
|---|---|---|---|
t1.micro | $0.10 | $0.02 | $0.12 |
t2.nano | $0.10 | $0.006 | $0.106 |
t2.micro AWS Free Tier | $0.10 | $0.012 | $0.112 |
t2.small | $0.10 | $0.023 | $0.123 |
t2.medium | $0.10 | $0.046 | $0.146 |
t2.large | $0.10 | $0.093 | $0.193 |
t3.nano | $0.10 | $0.005 | $0.105 |
t3.micro AWS Free Tier | $0.10 | $0.01 | $0.11 |
t3.small | $0.10 | $0.021 | $0.121 |
t3.medium | $0.10 | $0.042 | $0.142 |
Additional AWS infrastructure costs
Type | Cost |
|---|---|
EBS General Purpose SSD (gp2) volumes | $0.10/per GB/month of provisioned storage |
Vendor refund policy
Apps4Rent does not offer commercial licenses of any of the products mentioned above. The products come with open source licenses.
Legal
Vendor terms and conditions
Content disclaimer
Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Additional details
Usage instructions
*For Linux: Connect to your Linux instance via port no. 22 using SSH. Please refer this article: https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/AccessingInstancesLinux.html Sign-in credentials: Username: ubuntu
To see the Llama2-7b-chat istalled drectories fllow the commands:
Get access to the machine using SSH. Become a super user: sudo su Locate the installed Llama2-7b-chat directory: cd llama To list down the files inside Llama directory: ls To see the hidden Files aswell: ls -la
Dependencies Version check:
Git version: git --version (2.25.1) Python version: python3 --version (3.8.10)
Below are the minimum external resources subscriber needs to have to use this product: An Internet Connection is required in order for this product to function as expected.
We recommend keeping your crucial data in a custom made encrypted EBS in order to save from termination in future.-
Support
Vendor support
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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