Overview
This is a self-hosted deployment of the Qwen 2.5 7BÂ large language model. It runs as a single GPU-powered EC2 instance allowing you to keep your data private and leverage unlimited tokens. Access to the model is via HTTPS, ensuring data is encrypted in-transit at all times. Highlights of the Qwen 2.5 7B model include:
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Delivers stronger knowledge coverage with major gains in coding and mathematical reasoning, powered by domain-optimized expert components.
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Provides robust instruction following, improved long-form generation (8K+ tokens), better comprehension of structured data such as tables, and more reliable structured outputs like JSON; also handles diverse system prompts more consistently for role-play and chatbot control.
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Supports extended context windows up to 128K tokens with generation capability of up to 8K tokens.
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Offers multilingual capabilities across 29+ languages, including Chinese, English, French, Spanish, Portuguese, German, Italian, Russian, Japanese, Korean, Vietnamese, Thai, Arabic, and more.
Highlights
- Data security, privacy, and confidentiality
- Predictable cost
- Unlimited usage of a dedicated model
Details
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You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
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Pricing
Free trial
Dimension | Cost/hour |
|---|---|
g5.2xlarge Recommended | $0.09 |
g5.xlarge | $0.09 |
Vendor refund policy
Customers will be charged for usage. Subscriptions can be cancelled at anytime, however, usage fees are non-refundable.
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Content disclaimer
Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Production-ready release, exposed Qwen 2.5 7B via Ollama service on port 443 via HTTPS.
Additional details
Usage instructions
- Deploy the EC2 instance, configure the Security Group to only allow inbound port 22 and 443 from your trusted IP address(es)
- Access the Qwen 2.5 7B model via the Ollama service exposed on port 443. Example curl command: curl -X POST https://<elastic-ip>/api/generate
-d '{"model":"qwen2.5:7b","prompt":"In one sentence, explain what a large language model is capable of."}'
Resources
Vendor resources
Support
Vendor support
The Salient Engineering support team can be reached at: support@salientengineering.comÂ
Our team is happy to assist with deployment and configuration issues.
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.
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