Overview
Deploy DistilGPT2 on Amazon SageMaker for private, CPU-native text generation and autocompletion. At 82MB - 40% smaller than GPT-2 with 97% of the speed - it enables private autocomplete, lightweight story generation, code comment drafting, and air-gapped LLM pipelines that cannot use external APIs. Apache-2.0 licensed.
Highlights
- 82MB private CPU text generation - no external API calls required
- 40% smaller than GPT-2 with comparable or faster throughput
- No GPU required - autocomplete, augmentation, and draft generation at scale
Details
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Pricing
Dimension | Description | Cost/host/hour |
|---|---|---|
ml.m5.xlarge Inference (Real-Time) Recommended | Model inference on the ml.m5.xlarge instance type, real-time mode | $0.10 |
ml.m5.xlarge Inference (Batch) Recommended | Model inference on the ml.m5.xlarge instance type, batch mode | $0.10 |
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No 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.
Version release notes
Initial release
Additional details
Inputs
- Summary
DistilGPT2 - Private CPU Text Generation on SageMaker
- Input MIME type
- application/json
Support
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Contact support@waltsoft.net for deployment assistance.
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