Model Gallery is a Model as a Service (MaaS) component of PAI that provides state-of-the-art models across large language model (LLM), AI-generated content (AIGC), computer vision (CV), and natural language processing (NLP). This topic describes how to deploy, fine-tune, distill, and build applications with DeepSeek models using Model Gallery.
Available DeepSeek models
Choose the model that best fits your use case and resource availability.
| Model | Description | Resource requirements |
|---|---|---|
| DeepSeek-V3 | Full-size DeepSeek V3 model | Higher compute resources required |
| DeepSeek-R1 | Full-size DeepSeek R1 reasoning model | Higher compute resources required |
| DeepSeek-R1-Distill-Qwen-7B | Smaller distilled model based on Qwen2.5-7B. Recommended for quick practice | Low. Can be deployed with free trial resources |
Before you start
Activate PAI and create a workspace
PAI workspaces centralize management of computing resources, permissions, and AI assets. Activating PAI creates a default workspace. Object Storage Service (OSS) is activated by default for storing code, models, and datasets.
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Go to the PAI console to activate PAI. Each region requires separate activation.
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(Optional) If OSS is not activated, go to the OSS console and create a bucket in the same region as your PAI workspace.
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If no workspace exists, go to the PAI Workspaces page and click Create Workspace.
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Go to Model Gallery to find your model.
Region and resource specifications
Most Alibaba Cloud services, including PAI workspaces and OSS buckets, are region-specific. Some regions are not interconnected, so select your region carefully.
Key considerations:
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Resource availability varies by region. If resources are unavailable in one region, check other regions.
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Billing: PAI offers pay-as-you-go and subscription billing. Pay-as-you-go resources are shared across users, so resource shortages may occur.
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Restricted specifications: Some resource specifications are restricted to whitelisted users. Consult your sales manager for recommendations.
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Lingjun resources: PAI also supports Lingjun AI Computing Service resources with high-speed networks for distributed training or deployment. Lingjun resources are restricted to whitelisted users. Contact your sales manager if needed.
(Optional) Create a virtual private cloud (VPC) for distributed training or deployment
A VPC is required for distributed training or deployment. For internet access, configure a public port.
When creating a VPC, also configure a vSwitch and security group:
Specify your VPC when starting training or deployment in Model Gallery. 
Deploy a DeepSeek model
One-click deployment is available for DeepSeek-V3 and DeepSeek-R1 models. For detailed instructions, see One-click deployment of DeepSeek-V3 and DeepSeek-R1 models.
To get started quickly, try DeepSeek-R1-Distill-Qwen-7B. This smaller distilled model has low resource requirements and can be deployed with free trial resources.
Fine-tune and distill a DeepSeek model
Fine-tuning trains the model with your data to improve accuracy for your specific use case.
Distillation transfers knowledge from a larger teacher model to a smaller student model, retaining accuracy while reducing compute and storage costs.
Fine-tuning success depends on dataset quality, hyperparameters, and experimentation. For many use cases, retrieval-augmented generation (RAG) may be simpler and sufficient.
For detailed instructions, see One-click fine-tuning of DeepSeek-R1 distill models.
Build AI applications with LangStudio
Develop applications with LangStudio
PAI LangStudio simplifies enterprise LLM application development with built-in templates for RAG, web search, and other AI application types.
The following tutorials walk through common application patterns using DeepSeek models in LangStudio:
| Application pattern | Tutorial |
|---|---|
| DeepSeek + Knowledge base | Use LangStudio to create a DeepSeek- and RAG-based Q&A application flow for finance and healthcare |
| DeepSeek + Web Search | Use LangStudio and Alibaba Cloud Information Query Service to build a DeepSeek web search application flow |
| DeepSeek + Knowledge base + Web Search | Use LangStudio and DeepSeek to deploy a RAG- and web search-based chatbot |