Overview
Falcon 180B is the largest openly available language model, with 180 billion parameters. It was trained on 3.5 trillion tokens using TII's RefinedWeb dataset. This represents the longest single-epoch pre-training for an open model.
Falcon 180B scaled up for its predecessor Falcon 40B, with new capabilities such as multiquery attention for enhanced scalability. The model used 4096 GPUs on Amazon SageMaker and was trained on 3.5 trillion tokens. This is roughly around 7,000,000 GPU hours. This means that Falcon 180B is 2.5x faster than LLMs such as Llama 2 and was trained on 4x more computing.
Key Features: Unmatched Pretrained Depth: Boasting an impressive 180 billion parameters, this AMI is set to produce results with unparalleled depth, precision, and richness.
Quick Deployment: Overcome the challenges of intricate setups effortlessly. The AMI variant provides a clean, ready-to-use experience, simplifying the complexities associated with raw models.
Effortless API Integration: Seamlessly connect with a multitude of applications. The integrated API design guarantees adaptable versatility and seamless operations.
Highlights
- Easy Integration: Designed for interoperability, this AMI effortlessly aligns with the OpenAI landscape and offers seamless API connections, ensuring smooth operations across diverse platforms.
- Effortless Deployment: Designed for ease-of-use, this AMI provides users with a hassle-free setup experience, ensuring quick implementation without the complexities.
- Pay-as-You-Go Flexibility: Enjoy cost efficiency with a pay-as-you-go pricing model.
Details
Features and programs
Financing for AWS Marketplace purchases
Pricing
Instance type | Product cost/hour | EC2 cost/hour | Total/hour |
---|---|---|---|
g4dn.metal | $0.104 | $7.824 | $7.928 |
Vendor refund policy
We do not currently support refunds, but you can cancel at any time.
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Content disclaimer
Delivery details
cloudformation template for Falcon deployment
Falcon 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".
IAM Role is set up and configured with the necessary permissions to assume the role for the Falcon service. The IAM Policy is created and responsible for accessing Route53 and creating Letsencrypt SSL certificates. Apart from that volume permissions also given for changing volume type of instance. Access the application via a browser at http://<your domain name>/docs or http://<Public IPv4 address>/docs.
Product will try to setup SSL based on provided domain name, if domain hosted on route53. 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. Admin email is also using for generate SSL certificates.
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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.