Sold by: .txtÂ
Overview
Make your AI-powered applications reliable with our structured outputs solution for Qwen2.5-VL-32B-Instruct. This fully managed service seamlessly integrates with your AWS infrastructure, delivering guaranteed JSON Schema-compliant outputs directly from the language model. Simply deploy through AWS Marketplace, and receive valid JSON responses every time.
Our solution leverages proprietary optimization technology designed specifically for AWS environments, ensuring zero-latency structured outputs. Unlike traditional LLM implementations that require complex post-processing and development overhead, our service dramatically increases schema compliance while maintaining the model's full performance. Transform unreliable AI outputs into production-ready, structured data without sacrificing speed or accuracy.
Note: this model is designed exclusively for real-time inference endpoints.
Highlights
- Always generate valid JSON outputs
- Zero overhead
- From the leaders in structured outputs and authors of Outlines, .txt
Details
Sold by
Delivery method
Latest version
Deployed on AWS
Unlock automation with AI agent solutions
Fast-track AI initiatives with agents, tools, and solutions from AWS Partners.
Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
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.c4.xlarge Inference (Batch) Recommended | Model inference on the ml.c4.xlarge instance type, batch mode | $0.05 |
ml.g6e.24xlarge Inference (Real-Time) Recommended | Model inference on the ml.g6e.24xlarge instance type, real-time mode | $4.52 |
ml.p5en.48xlarge Inference (Real-Time) | Model inference on the ml.p5en.48xlarge instance type, real-time mode | $18.99 |
ml.p5.48xlarge Inference (Real-Time) | Model inference on the ml.p5.48xlarge instance type, real-time mode | $16.51 |
ml.p4de.24xlarge Inference (Real-Time) | Model inference on the ml.p4de.24xlarge instance type, real-time mode | $8.23 |
ml.p4d.24xlarge Inference (Real-Time) | Model inference on the ml.p4d.24xlarge instance type, real-time mode | $6.59 |
ml.g6e.48xlarge Inference (Real-Time) | Model inference on the ml.g6e.48xlarge instance type, real-time mode | $9.04 |
ml.g6e.12xlarge Inference (Real-Time) | Model inference on the ml.g6e.12xlarge instance type, real-time mode | $3.15 |
Vendor refund policy
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA)Â .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
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
v0.0.9
Additional details
Inputs
- Summary
dotjson follows the OpenAI API specification for generating structured outputs. The schema is provided in the response_format section of the input payload:
{ "messages": [...], "response_format": { "type": "json_schema", "json_schema": { "name": "test schema", "schema": {“type”: “object”} } }, … }
- Limitations for input type
- Maximum response length is determined by the prompt length and the model maximum context length. It may be further limited by the available memory on the instance type used to deploy dotjson.
- Input MIME type
- application/json
https://github.com/dottxt-ai/aws-examples/blob/main/dotjson-qwen2-5-vl-32b-instruct/payload.json
Batch transforms are not supported.
Support
Vendor support
Contact us at support@dottxt.co or visit our website at docs.dottxt.ai.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Similar products
Enterprise-grade JSON structured outputs for Deepseek-R1-Distill-Qwen-32B
Customer reviews
No customer reviews yet
Be the first to review this product . We've partnered with PeerSpot to gather customer feedback. You can share your experience by writing or recording a review, or scheduling a call with a PeerSpot analyst.