Amazon Sagemaker
Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. With Amazon SageMaker, all the barriers and complexity that typically slow down developers who want to use machine learning are removed. The service includes models that can be used together or independently to build, train, and deploy your machine learning models.
Widn Tower Sugarloaf Free trial
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Latest Version:
v3.0
Tower Sugarloaf by Widn is a powerful multilingual LLM designed for advanced translation tasks across multiple languages and domains.
Product Overview
Widn Tower Sugarloaf is a multilingual LLM based on Unbabel's powerful Tower LLMs, optimized for high-quality translation use cases across multiple domains. It is the medium offering by Widn, for those who need a balance between quality, speed, and cost.
Key Data
Version
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Type
Model Package
Highlights
Widn Tower Sugarloaf is intended for multilingual tasks and is specially strong on machine translation. This means you can solve several translation use cases that traditional NMT models struggle with. This includes:
- Translation of entire documents;
- Translation with few-shots for real-time adaption;
- Translation following specific terminologies/glossaries;
- Translation into different tones;
- Translation following style guides.
Widn Tower Sugarloaf was trained on a diverse multilingual dataset comprising millions of high-quality translations across various domains. While it excels in many languages, performance may vary for low-resource languages or highly specialized technical content.
Widn Tower Sugarloaf supports 26 languages and variants: German, Spanish, French, Italian, Korean, Dutch, Russian, English, Portuguese (Portugal), Portuguese (Brazilian), Spanish (Latin America), Chinese (Simplified), Chinese (Traditional), Czech, Ukrainian, Hindi, Icelandic, Japanese, Polish, Swedish, Hungarian, Romanian, Danish, Norwegian (Nynorsk), Norwegian (Bokmål), Finnish
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Pricing Information
Use this tool to estimate the software and infrastructure costs based your configuration choices. Your usage and costs might be different from this estimate. They will be reflected on your monthly AWS billing reports.
Contact us to request contract pricing for this product.
Estimating your costs
Choose your region and launch option to see the pricing details. Then, modify the estimated price by choosing different instance types.
Version
Region
Software Pricing
Model Realtime Inference$20.00/hr
running on ml.g5.12xlarge
Model Batch Transform$20.00/hr
running on ml.g5.12xlarge
Infrastructure PricingWith Amazon SageMaker, you pay only for what you use. Training and inference is billed by the second, with no minimum fees and no upfront commitments. Pricing within Amazon SageMaker is broken down by on-demand ML instances, ML storage, and fees for data processing in notebooks and inference instances.
Learn more about SageMaker pricing
With Amazon SageMaker, you pay only for what you use. Training and inference is billed by the second, with no minimum fees and no upfront commitments. Pricing within Amazon SageMaker is broken down by on-demand ML instances, ML storage, and fees for data processing in notebooks and inference instances.
Learn more about SageMaker pricing
SageMaker Realtime Inference$7.09/host/hr
running on ml.g5.12xlarge
SageMaker Batch Transform$7.09/host/hr
running on ml.g5.12xlarge
About Free trial
Try this product for 7 days. There will be no software charges, but AWS infrastructure charges still apply. Free Trials will automatically convert to a paid subscription upon expiration.
Model Realtime Inference
For model deployment as Real-time endpoint in Amazon SageMaker, the software is priced based on hourly pricing that can vary by instance type. Additional infrastructure cost, taxes or fees may apply.InstanceType | Realtime Inference/hr | |
|---|---|---|
ml.g5.12xlarge Vendor Recommended | $20.00 |
Usage Information
Model input and output details
Input
Summary
The model accepts JSON input containing the text to be translated and optional model parameters.
Limitations for input type
Input text should be clear and well-formed. The maximum token limit is 4096 tokens. For best quality, use the prompt examples shown in the example and in the notebook.
Input MIME type
application/jsonSample input data
Output
Summary
For better results, follow a similar prompt format as in the examples or in the linked notebook.
The model accepts custom parameters such as max_tokens and temperature. These can be adjusted to control the generation process. See this documentation for more details .
Limitations for output type
The maximum token limit is 4096 tokens.
Output MIME type
application/json, application/jsonlinesSample output data
Sample notebook
Additional Resources
End User License Agreement
By subscribing to this product you agree to terms and conditions outlined in the product End user License Agreement (EULA)
Support Information
AWS Infrastructure
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.
Learn MoreRefund Policy
No refunds. Please contact [support+aws@widn.ai](mailto:support+aws@widn.ai) for further assistance.
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