
Overview
Widn Tower Vesuvius is a multilingual LLM based on Unbabel's powerful Tower LLMs, optimized for high-quality translation use cases across multiple domains. It is the largest and most powerful model offered by Widn, for those who need the highest quality and performance.
Highlights
- **Widn Tower Vesuvius** 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 Vesuvius** 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 Vesuvius** 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 (Bokmal), Finnish
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Pricing
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Dimension | Description | Cost/host/hour |
|---|---|---|
ml.g5.48xlarge Inference (Batch) Recommended | Model inference on the ml.g5.48xlarge instance type, batch mode | $40.00 |
ml.g5.48xlarge Inference (Real-Time) Recommended | Model inference on the ml.g5.48xlarge instance type, real-time mode | $40.00 |
ml.p4de.24xlarge Inference (Real-Time) | Model inference on the ml.p4de.24xlarge instance type, real-time mode | $50.00 |
ml.p4d.24xlarge Inference (Real-Time) | Model inference on the ml.p4d.24xlarge instance type, real-time mode | $50.00 |
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No refunds. Please contact  support+aws@widn.ai for further assistance.
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Amazon SageMaker model
An Amazon SageMaker model package is a pre-trained machine learning model ready to use without additional training. Use the model package to create a model on Amazon SageMaker for real-time inference or batch processing. Amazon SageMaker is a fully managed platform for building, training, and deploying machine learning models at scale.
Version release notes
This is an improved version of the first Widn Tower Vesuvius model, a powerful multilingual LLM optimized for high-quality translation use cases across multiple domains, and now much better at following instructions.
Additional details
Inputs
- Summary
The model accepts JSON input containing a prompt with the text to be translated and optional model parameters.
See the notebook for examples of tested prompts.
- Limitations for input type
- The 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/json
Input data descriptions
The following table describes supported input data fields for real-time inference and batch transform.
Field name | Description | Constraints | Required |
|---|---|---|---|
messages.role | The role of the message. Examples: "system", "user", "assistant". | Type: FreeText | Yes |
messages.content | The content of the message. Example: "Translate the following text from Portuguese into English.\n Portuguese: Um grupo de investigadores lançou um novo modelo para tarefas relacionadas com tradução.\n English:” | Type: FreeText
Limitations: Be aware of the max number of tokens supported (4096). | Yes |
Custom attributes
The following table describes custom attributes for real-time inference endpoints.
Field name | Description | Constraints | Required |
|---|---|---|---|
max_tokens | The maximum number of tokens that can be generated in the chat completion. | Type: Integer
Minimum: 1
Maximum: 4000 | Yes |
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Support
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Contact us at support+aws@widn.ai .
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