Sold by: LightOnÂ
Overview
Lyra-Fr 10B is the largest language model trained on French curated data. Describe the task you want to perform in natural language, and provide examples, Lyra-FR will generate responses of the level of a native French speaker. Access Lyra-FR through a simple API. You can customize the parameters in a JSON format to extract the best performance from it. The API documentation, resources on prompt design and parameters, as well as examples of use cases are available in the documentation: https://muse-docs.lighton.ai/Â .
Highlights
- The most powerful French generative model for text-based tasks.
- A high-performance implementation that handles many optimizations for you
- Text generation, keyword extraction, information extraction, question answering, summarization, sentiment analysis, classification
Details
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Delivery method
Latest version
Deployed on AWS
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Pricing
Free trial
Try this product free for 30 days according to the free trial terms set by the vendor.
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.g4dn.12xlarge Inference (Batch) Recommended | Model inference on the ml.g4dn.12xlarge instance type, batch mode | $5.00 |
ml.p4d.24xlarge Inference (Real-Time) Recommended | Model inference on the ml.p4d.24xlarge instance type, real-time mode | $5.00 |
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We do not offer refunds.
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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
Security fixes
Additional details
Inputs
- Summary
The model accepts JSON-formatted input following the specifications provided in the developer documentation for each endpoint https://muse-docs.lighton.ai/apiÂ
- Limitations for input type
- The API accepts JSON files that are at most 6MB
- Input MIME type
- application/json
{
"text": "Lyra-fr est désormais disponible sur AWS Sagemaker. Compréhension et génération de texte de pointe, en un clic. Vous pouvez l'utiliser pour de nombreuses tâches différentes, telles que :",
"params": {
"mode": "nucleus",
"n_tokens": 50,
"temperature": 0.9,
"seed": 1,
"stop_words": [".", "\n"],
"biases": {
"visualisation": -5.0,
"génération": -5.0
}
},
"endpoint": "create"
}
https://muse-docs.lighton.ai/api/specifications/requests#batching-requests
Input data descriptions
The following table describes supported input data fields for real-time inference and batch transform.
Field name | Description | Constraints | Required |
|---|---|---|---|
endpoint | Choice of endpoint among Create, Analyse, Select, Embed, Compare, and Tokenize | Type: FreeText | Yes |
Resources
Vendor resources
Support
Vendor support
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