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    Llama2-7B, Gradio, PromptBench with GPU on Ubuntu 20.04 by Apps4Rent

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    AWS Free Tier
    This product has charges associated with it for technical support and maintenance provided by Apps4Rent. The usage charges are USD 0.1/hour.
    Listing Thumbnail

    Llama2-7B, Gradio, PromptBench with GPU on Ubuntu 20.04 by Apps4Rent

     Info

    Overview

    This is a repackaged open-source software product wherein additional charges apply for technical support and maintenance by Apps4Rent. Utilize the capabilities of Llama2-7B, PromptBench and Gradio on this GPU-powered machine. Llama 2 is an open-source project. This means Meta is publishing the entire model so anyone can use it to build new models or applications. Llama 2 is a large language model which has been trained on a vast dataset of publicly available internet data, enjoying the advantage of a dataset both more recent and more diverse.

    PromptBench is a Pytorch-based Python package for Evaluation of Large Language Models (LLMs). It provides user-friendly APIs for researchers to conduct evaluation on LLMs.

    Gradio is the fastest way to demo your machine learning model with a friendly web interface so that anyone can use it, anywhere. Gradio allows you to build demos and share them, all in Python. And usually in just a few lines of code.

    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

    • Apps4Rent provides Llama2-7B, PromptBench and Gradio with GPU enabled machine which is ready to use for Production Environment.
    • Take advantage of Llama2-7B, PromptBench and Gradio's combined power on this GPU enabled machine to achieve your task. Apps4Rent is offering "Pack of 3 product" (3 software's on a single machine) at an affordable price point of USD 0.1/hour (any vCPU).

    Details

    Categories

    Delivery method

    Delivery option
    64-bit (x86) Amazon Machine Image (AMI)

    Latest version

    Operating system
    Ubuntu 20.04

    Typical total price

    This estimate is based on use of the seller's recommended configuration (p2.xlarge) in the US East (N. Virginia) Region. View pricing details

    $1.00/hour

    Pricing

    Llama2-7B, Gradio, PromptBench with GPU on Ubuntu 20.04 by Apps4Rent

     Info
    Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Usage costs (95)

     Info
    • ...
    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

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Usage information

     Info

    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

    *Verifying Installed tools: Llama2-7B: Update machine: sudo apt-get update Become superuser: sudo su Navigate to directory: cd llama List files: ls Include hidden files: ls -la

    PromptBench: Update machine: sudo apt-get update Navigate to directory: cd promptbench List files: ls Include hidden files: ls -la

    Checking Dependencies: Git version: git --version (expect output: 2.25.1) Python version: python3 --version (expect output: 3.8.10)

    Gradio: Update instance: sudo apt-get update Activate virtual environment: source my-env/bin/activate Check Gradio details: pip show gradio Exit virtual environment: deactivate *Below are the minimum external resources subscriber needs to have to use this product: i) An Internet Connection is required for this product to function as expected. ii)We recommend keeping your crucial data in a custom made encrypted EBS to save it 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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