Overview
This is a repackaged open-source software product wherein additional charges apply for technical support and maintenance by Apps4Rent.
Llama2-13B-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.
Prompt Bench is not just a tool, it is a research powerhouse designed to delve into the complex world of large language models (LLMs) and their interactions with prompts.
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
- Llama13b-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.
- Llama13b-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.
- We meticulously fine-tune our infrastructure to perfectly complement Promptbench, ensuring you push the limits of coding innovation.
Details
Typical total price
$3.16/hour
Pricing
Instance type | Product cost/hour | EC2 cost/hour | Total/hour |
|---|---|---|---|
m3.xlarge | $0.10 | $0.266 | $0.366 |
m3.2xlarge | $0.10 | $0.532 | $0.632 |
m4.xlarge | $0.10 | $0.20 | $0.30 |
m4.2xlarge | $0.10 | $0.40 | $0.50 |
m4.4xlarge | $0.10 | $0.80 | $0.90 |
m4.10xlarge | $0.10 | $2.00 | $2.10 |
c3.xlarge | $0.10 | $0.21 | $0.31 |
c3.2xlarge | $0.10 | $0.42 | $0.52 |
c3.4xlarge | $0.10 | $0.84 | $0.94 |
c3.8xlarge | $0.10 | $1.68 | $1.78 |
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 or refund to any product mentioned above. The product comes 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
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
- This software does not store any sensitive customer information.
- This software does not require any type of data encryption configuration.
- Programmatic system credentials and cryptographic keys are not required for this product.
To see the Llama2-13b-chat installed directories follow the commands:
Get access to the machine using SSH. Become a super user: sudo su Locate the installed Llama2-13b-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 Python version: python3 --version
To verify that Prompt Bench has been installed correctly, follow the below steps: Open a Python shell by typing python3. Once the Python shell is open, type the following commands to verify the prompt bench installation: import promptbench as pb
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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