Sold by: Meetrix.io
Deployed on AWS
This is an OpenAI API compatible single-click deployment AMI package of LLaMa 2 Meta AI for the 70B-Parameter Model: Designed for the height of OpenAI text modeling, this easily deployable premier Amazon Machine Image (AMI) is a standout in the LLaMa 2 series with preconfigured OpenAI API and SSL auto generation. A must-have for tech enthusiasts, it boasts plug-and-play functionality and delivers unparalleled precision.
Overview
The "Llama 2 AMI 70B": The most simple way to step into the forefront of large language models (LLMs) mastery with unprecedented depth and precision. This Amazon Machine Image is is pre-configured and easily deployable and fortified by an unparalleled 70 billion parameters.
We offer unparalleled support to our subscribers. You can find a product video and a developer guide with examples under 'Additional Resources' below.
Advantages of the Llama 2 70B AMI:
Instant Deployment: Say goodbye to the challenges of setting up. Our AMI version offers a ready-to-launch experience, eliminating the complexities associated with raw models.
Unrivaled Pretrained Depth: With a staggering 70 billion parameters at its core, this AMI is poised to deliver outputs with unmatched depth, accuracy, and richness.
OpenAI API Integration: Seamless connectivity to the OpenAI echosystem, thanks to the in-built robust API integration, ensuring adaptability in diverse scenarios.
Cost Efficiency: With our Pay-per-hour pricing model you will only be charged for the time you actually use the product.
Proven Reliability: Benefit from our extensively tested and trusted solution.
User-Centric Data Control: You're in charge with complete control over your data.
Chat Excellence Reimagined: Witness the zenith of dialogue capabilities with the "Llama-2-Chat" models integrated within, achieving dialogue benchmarks that redefine industry standards. Their performance, especially in safety and helpfulness, is not just on par, but often surpasses stalwarts like ChatGPT and PaLM.
Textual Mastery: Ingrained with a text-centric design, models within this AMI are tailored for sublime text inputs and outputs, championing top-tier text generation tasks. Central to its prowess, the Llama 2 70B AMI is anchored in an optimized transformer framework. Seamlessly intertwined with supervised fine-tuning (SFT) and reinforcement learning buoyed by human feedback (RLHF), it stands as the epitome of user-centric design and functionality.
Highlights
- Unparalleled Depth: with 70 billion parameters, this model stands out with its ability to delve deep into contexts, ensuring exceptional text comprehension and generation.
- Effortless Deployment: Designed for ease-of-use, this pre configured AMI provides users with a hassle-free setup experience, ensuring quick implementation without the devops complexities.
- OpenAI API Integration: Seamlessly compatible with the broader OpenAI ecosystem with in-built API connectivity, facilitating smooth interactions with various applications.
Details
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Delivery method
Delivery option
cloudformation template for Llama deployment
Latest version
Operating system
Ubuntu 22.04
Deployed on AWS
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Pricing
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 covers 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.
Dimension | Cost/hour |
|---|---|
g4dn.12xlarge | $0.104 |
g4dn.metal | $0.104 |
Dimensions summary
You pay by the hour for the EC2 instance type you run this AMI on. Both dimensions bill hourly, so cost accrues only while the instance is running and stops when you stop it. The two options differ by hardware. The g4dn.12xlarge is a multi-GPU instance, while the g4dn.metal is a bare-metal instance with dedicated hardware. Choose based on the compute capacity you need to run the 70B model. Software charges are separate from the AWS infrastructure fees you pay for the underlying instance.
Top-of-mind questions for buyers
The g4dn.12xlarge is a multi-GPU instance. The developer guide recommends it for the LLaMa 2 70B model. You pay by the hour for the instance while it runs, and the compute capacity supports serving the model through the OpenAI-compatible API.
Software charges accrue per hour only while the instance runs. When you stop the instance, hourly software charges stop. The guide shows you can stop the instance and restart it later. Stopped instances may still incur AWS storage fees for the underlying volumes, billed separately by AWS.
Both options meter actual instance-hours with no upfront commitment. The g4dn.12xlarge uses multiple GPUs, while the g4dn.metal gives you a bare-metal instance with dedicated physical hardware. Each bills independently by the hour. You run one instance at a time, so you pay for whichever type you launch.
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Delivery details
cloudformation template for Llama deployment
Llama 2 is capable of generating text, answering questions, generating content, and performing a range of text-related tasks in response to the provided prompts
CloudFormation Template (CFT)
AWS CloudFormation templates are JSON or YAML-formatted text files that simplify provisioning and management on AWS. The templates describe the service or application architecture you want to deploy, and AWS CloudFormation uses those templates to provision and configure the required services (such as Amazon EC2 instances or Amazon RDS DB instances). The deployed application and associated resources are called a "stack."
Version release notes
First Release
Additional details
Usage instructions
Click the "Continue to Subscribe" button. After subscribing, you will need to accept the terms and conditions. Click on "Accept Terms" to proceed. Please wait for a few minutes while the processing takes place. Once it's completed, click on "Continue to Configuration". Access the application via a browser at http://<Public IPv4 address>/docs. Product will try to create SSL certificates when its deploying to account if domain hosted on route53. Lllama instance assigned a IAM role to give permission access Route53 and create Letsencrypt SSL certificates. Admin email is also using for generate SSL certificates. Apart from that volume permissions also given for changing volume type of instance. If the automatic SSL creation unsuccesful then you have to point domain name into server ip, ssh into server and run /root/certificate_generate_standalone.sh. For more information please read our developer guide: https://meetrix.io/articles/llama-developer-guide/
Resources
Vendor resources
Support
Vendor support
Please contact us through support@meetrix.io . Please allow up to 12 hours for our support team to address your request.
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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