Overview
This is a repackaged open-source software product wherein additional charges apply for technical support and maintenance by Apps4Rent.
Llama2-7B-Chat 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.
Redis is a key-value store that is used to store chat messages. Nginx is a web server that is used to serve the chat application.
Llama2-7B-chat is a great option for businesses that are looking to deploy a chat application on a budget. It is easy to use and secure, and it includes all of the necessary software for the chat application.
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
- Llama7b-chat is a pre-configured image, which means that it is ready to use right out of the box. You can simply deploy the image to an Ubuntu 22.04 LTS server and the chat application will be up and running in minutes.
- Llama7b-chat is configured with a number of security features, such as a firewall, HTTPS, and two-factor authentication. This helps to protect your chat application from unauthorized access.
- Llama7b-chat is a great option for businesses that are looking to deploy a chat application on a budget. It is free to use and you only pay for the underlying infrastructure costs.
Details
Typical total price
$0.338/hour
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.medium | $0.10 | $0.042 | $0.142 |
t3.large | $0.10 | $0.083 | $0.183 |
t3a.micro | $0.10 | $0.009 | $0.109 |
t3a.medium | $0.10 | $0.038 | $0.138 |
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.
Version release notes
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.