
Overview
A Portuguese-specialized LLM, small size
Highlights
- A Portuguese-specialized LLM, small size
Details
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Dimension | Description | Cost/host/hour |
|---|---|---|
ml.m5.4xlarge Inference (Batch) Recommended | Model inference on the ml.m5.4xlarge instance type, batch mode | $0.70 |
ml.g5.8xlarge Inference (Real-Time) Recommended | Model inference on the ml.g5.8xlarge instance type, real-time mode | $0.70 |
ml.g5.12xlarge Inference (Real-Time) | Model inference on the ml.g5.12xlarge instance type, real-time mode | $0.70 |
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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
A Portuguese-specialized LLM, small size
Additional details
Inputs
- Summary
{ "messages": [ { "role": "string", "content": "string" } ], "chat_mode": true, "max_tokens": 1, "model": "maritalk", "do_sample": true, "temperature": 0.7, "top_p": 0.95, "repetition_penalty": 1, "stopping_tokens": [ "string" ], "stream": false, "num_tokens_per_message": 4 }
- 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 |
|---|---|---|---|
text | Text as prompt | Default value: ""
Type: FreeText | No |
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