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    spaCy, spacy-llm, Codellama_13b on Ubuntu20 with support by Apps4Rent

     Info
    This product has charges associated with it for technical support and maintenance provided by Apps4Rent. The usage charges are USD 0.1/hour and USD 870/yr.
    Listing Thumbnail

    spaCy, spacy-llm, Codellama_13b on Ubuntu20 with support by Apps4Rent

     Info

    Overview

    This is a repackaged open-source software product wherein additional charges apply for technical support and maintenance by Apps4Rent.

    spaCy is a free, open-source library for advanced Natural Language Processing (NLP) in Python. spaCy is designed specifically for production use and helps you build applications that process and understand large volumes of text. It can be used to build information extraction or natural language understanding systems, or to pre-process text for deep learning. If you are looking for a powerful, flexible, and user-friendly NLP solution on AWS, SpaCy is the answer. It is an investment that will pay off in spades, unlocking the true potential of your text data.

    This package integrates Large Language Models (LLMs) into spaCy, featuring a modular system for fast prototyping and prompting, and turning unstructured responses into robust outputs for various NLP tasks, no training data required.

    In the realm of artificial intelligence, CodeLlama 13B stands as a master linguist, fluent in the intricate dialects of code. Its 13 billion parameters form a neural tapestry, weaving together human intent and machine execution. Like a sculptor coaxing life from clay, it crafts code with precision, translating whispered desires into tangible outcomes. From generating code snippets to bridging language barriers, it empowers developers to construct digital masterpieces with newfound efficiency and clarity. CodeLlama 13B heralds a future where humans and machines collaborate seamlessly, forging a harmonious symphony of creativity and innovation.

    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

    • Get started with spaCy, the leading Python library for Natural Language Processing (NLP), instantly on your AWS environment. No need for manual setup or dependencies.
    • CodeLlama-13B is an open-source python libraries for AI based projects.

    Details

    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 (t2.xlarge) in the US East (N. Virginia) Region. View pricing details

    $0.286/hour

    Pricing

    spaCy, spacy-llm, Codellama_13b on Ubuntu20 with support 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. Alternatively, you can pay upfront for a contract, which typically covering your anticipated usage for the contract duration. Any usage beyond contract will incur additional usage-based costs.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Usage costs (58)

     Info
    Instance type
    Product cost/hour
    EC2 cost/hour
    Total/hour
    t2.medium
    $0.10
    $0.046
    $0.146
    t2.large
    $0.10
    $0.093
    $0.193
    t2.xlarge
    Recommended
    $0.10
    $0.186
    $0.286
    t2.2xlarge
    $0.10
    $0.371
    $0.471
    t3.xlarge
    $0.10
    $0.166
    $0.266
    t3.2xlarge
    $0.10
    $0.333
    $0.433
    t3a.xlarge
    $0.10
    $0.15
    $0.25
    t3a.2xlarge
    $0.10
    $0.301
    $0.401
    m3.large
    $0.10
    $0.133
    $0.233
    m3.xlarge
    $0.10
    $0.266
    $0.366

    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

    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

    Usage Instructions:

    1. This software does not store any sensitive customer information.

    2. This software does not require any type of data encryption configuration.

    3. Programmatic system credentials and cryptographic keys are not required for this product.

    4. To verify the SpaCy and spacy-llm installtion follow the commands below:

    a) To see the list of directories: ls b) To activate the virtual environment "my_env": source my_env/bin/activate c) To check the installed version of spacy: pip show spacy d) To check the location(/home/admin/my_env/bin/spacy) of SpaCy: which spacy e) To check the installed version of spacy-llm: pip show spacy-llm f) Open a Python3 shell by typing python3 in "my_env", virtual environment. Once the Python3 shell is open, type the following commands to verify the spacy: import spacy
    g) To come out of the virtual environment: deactivate

    1. To verify the CodeLlama installtion follow the commands below:

    Locate the installed CodeLlama directory using: ls To list down the files inside CodeLlama: cd codellama

    • 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

    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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