Overview
This is a repackaged open-source software product wherein additional charges apply for technical support and maintenance by Apps4Rent.
The world of large language models (LLMs) just got a whole lot more intriguing with the arrival of Meta's Llama-3. This powerhouse model, boasting a staggering 8 billion parameters, joins the ranks of AI marvels like OpenAI's ChatGPT, promising to revolutionize how we interact with information and unleash our creative potential.
Llama3 isn't just another number in the ever-growing LLM landscape. It's a versatile tool capable of handling a wide range of tasks. Need a catchy tagline for your next marketing campaign? Stuck on writer's block and yearning for a spark of inspiration for your poem? Or perhaps you're curious about the intricacies of astrophysics and want a clear, concise explanation? Llama-3 is here to help. Imagine having a conversation with a knowledgeable and articulate companion, one that can not only generate different creative text formats but also translate languages and answer your questions in an insightful way.
However, what truly sets Llama-3 apart is Meta's commitment to open access. Unlike some competitors who keep their models shrouded in secrecy, Meta has chosen a more collaborative approach. By releasing the model's weights - the core parameters that represent Llama-3's vast knowledge base they're essentially providing the building blocks for further innovation. This openness empowers researchers and developers to delve deeper into the model's inner workings, fine-tune it for specific applications, and ultimately accelerate advancements in the field of artificial intelligence. With Llama-3, Meta isn't just offering a powerful tool, they're fostering a collaborative environment where the future of language models can be shaped by a global community of experts. This commitment to open access not only fuels innovation but also fosters trust and transparency, paving the way for a more responsible and ethical development of AI technology. The possibilities unlocked by Llama-3 are vast, and with its emphasis on collaboration, Meta is positioning itself as a leader in the race to harness the true potential of large language models.
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 the initial launch.
Highlights
- Meta's Llama-3: A Versatile AI Powerhouse - This 8-billion parameter model joins the LLM scene alongside ChatGPT, offering creative text generation, language translation, and informative answers. It's your conversational bridge to explore ideas, write content, and delve into complex topics.
- Beyond Power, Openness is Key - Unlike some competitors, Meta releases Llama-3's core parameters, the "weights" of its knowledge. This fosters collaboration; researchers and developers can build upon Llama-3, fine-tuning it for specific needs and accelerating AI advancements.
- A Collaborative Future for Language Models - Meta prioritizes open access, pushing the boundaries of transparency and ethical development in AI. By enabling a global community to contribute, Llama-3 becomes more than a tool - it's a springboard for the future of language models.
Details
Typical total price
$1.00/hour
Features and programs
Financing for AWS Marketplace purchases
Pricing
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
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
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 verify the Llama3-8B related files and dependencies follow the below steps:
Become super user: sudo su Come inside the root directory: cd /root Locate the Llama3 directory: ls Enter the directory to see all Llama3-8B related files and dependencies: cd llama3 Now list down the files: ls
*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 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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