Sold by: Preferred Networks, Inc.
Overview
PLaMo is a large language model (LLM) that achieves world-leading performance in Japanese language capabilities, architected and built entirely from the ground up by Preferred Networks Group.
Now we support 4 bit quantize version only
Highlights
- PLaMo has achieved accuracy surpassing GPT-4 in major Japanese benchmarks such as Jaster. In addition to Japanese responses, PLaMo also demonstrates excellent performance in Japanese-English translation.
Details
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Delivery method
Latest version
Deployed on AWS
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Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/host/hour |
|---|---|---|
ml.g5.12xlarge Inference (Batch) Recommended | Model inference on the ml.g5.12xlarge instance type, batch mode | $10.00 |
ml.p4d.24xlarge Inference (Real-Time) Recommended | Model inference on the ml.p4d.24xlarge instance type, real-time mode | $10.00 |
ml.m5.4xlarge Inference (Batch) | Model inference on the ml.m5.4xlarge instance type, batch mode | $10.00 |
ml.g5.48xlarge Inference (Batch) | Model inference on the ml.g5.48xlarge instance type, batch mode | $10.00 |
ml.g5.24xlarge Inference (Batch) | Model inference on the ml.g5.24xlarge instance type, batch mode | $10.00 |
ml.g5.12xlarge Inference (Real-Time) | Model inference on the ml.g5.12xlarge instance type, real-time mode | $10.00 |
ml.g5.48xlarge Inference (Real-Time) | Model inference on the ml.g5.48xlarge instance type, real-time mode | $10.00 |
ml.g5.24xlarge Inference (Real-Time) | Model inference on the ml.g5.24xlarge instance type, real-time mode | $10.00 |
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Delivery details
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.
Deploy the model on Amazon SageMaker AI using the following options:
Version release notes
PLaMo 4bit quantize version
Additional details
Inputs
- Summary
Please send thease paramests as json.
We have many option parameters, you can find full docs in https://plamo.preferredai.jp/docs
- Input MIME type
- application/json
{
"messages": [
{
"role": "system",
"content": "あなたは旅行アドバイザーです"
},
{
"role": "user",
"content": "金沢で朝から夕方まで1日のおすすめの観光ルートを教えて下さい"
}
]
}
https://pfn-marketplace-sagemaker.s3.ap-northeast-1.amazonaws.com/test/in.txt
Input data descriptions
The following table describes supported input data fields for real-time inference and batch transform.
Field name | Description | Constraints | Required |
|---|---|---|---|
model | Set model name you can choice `plamo-prime` only | Default value: plamo-prime
Type: FreeText | No |
messages | Set chat messages
| Type: FreeText
Limitations: You should set message object please see our docs | Yes |
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Support
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