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.
Product Overview
Stockmark LLM 13b is a text generation model specialized for business in Japanese. This model is based on stockmark/stockmark-13b.
Key Data
Version
Type
Model Package
Highlights
Stockmark LLM 13b is specialized for business in Japanese.
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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.
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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$1.00/hr
running on ml.g5.2xlarge
Model Batch Transform$1.00/hr
running on ml.g5.2xlarge
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$1.515/host/hr
running on ml.g5.2xlarge
SageMaker Batch Transform$1.515/host/hr
running on ml.g5.2xlarge
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.g5.2xlarge Vendor Recommended | $1.00 |
Usage Information
Model input and output details
Input
Summary
We use Text Generation Interface (TGI) to serve our LLM, and the input schema of our API is compatible with that of TGI. See the following page for the detail of the TGI API.
Input MIME type
application/jsonSample input data
{
"inputs": "自然言語処理とは？"
}Output
Summary
The model returns JSON object, which contains generate_text
Output MIME type
application/jsonSample output data
{
"generated_text": ""自然言語処理(しぜんげんごしょり、Natural Language Processing、NLP)とは、人間の言語をコンピュータなどの情報機器が理解し、生成する方法を研究する分野です。人間の言葉をコンピュータがどう扱えば良いのか、といった研究が広く行われます。AIや機械学習の活用により、音声認識や機械翻訳、チャットボットなどのアプリケーションに活用されています。"
}Sample notebook
Additional Resources
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Support Information
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This model is non-refundable.
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