Updated on 2025-09-17 GMT+08:00

Viewing a Built-in Model in ModelArts Studio (MaaS)

ModelArts Studio provides various open-source models. You can check them on the Model Square page. The model details page shows all necessary information. You can choose suitable models for training and inference to incorporate into your enterprise systems.

Accessing the Model Square

  1. Log in to ModelArts Studio (MaaS) console and select the target region on the top navigation bar.
  2. In the navigation pane on the left, choose Model Square.
  3. In the Model Filtering area on the Model Square page, filter models by series, type, supported jobs, and context length, or search by model name.

    For details about model series, see Models.

    Table 1 Model filtering

    Filter Criteria

    Description

    Model

    You can filter models by series, including all and DeepSeek.

    Type

    You can filter models by type, including all and text generation.

    Supported Job Types

    You can filter models by job type, including all and deployment.

    Context Length

    You can filter models by context length, including all, fewer than 16K, and 16K.

  4. Click Model Details below the target model. On the model details page, check the model's introduction, basic information, and version details.
  5. On the Model Details page, click Deploy in the upper right corner to use the model for training and inference.

    The model does not support that task if you see a grayed-out button. For details about how to deploy a model service, see Deploying a Model Service in ModelArts Studio (MaaS).

Models

The table below lists the models supported by ModelArts Studio. For details about the models, go to the model details page.

Table 2 Models in the Model Square

Model

Type

Use Case

Supported Language

Supported Region

Model Introduction

DeepSeek

DeepSeek-R1

Text generation

Q&A and text generation inference

Chinese and English

CN-Hong Kong

DeepSeek-R1 model. It uses advanced technology for long-context understanding and fast inference. The model supports multi-modal interactions and API integrations. It enhances applications like intelligent customer service and data analytics, offering top cost-effectiveness for intelligent upgrades of enterprises.

DeepSeek-V3

Text generation

Q&A and translation

Chinese and English

CN-Hong Kong

DeepSeek-V3 is a strong Mixture of Experts (MoE) language model. It uses a new load balancing method without extra loss and aims for better performance with multi-token predictions.

DeepSeek-R1-Distill-Qwen-14B

Text generation

Q&A and text generation inference

Chinese and English

CN-Hong Kong

Qwen-14B is distilled from DeepSeek-R1 outputs and matches the capabilities of OpenAI o1-mini. DeepSeek-R1 performs similarly to OpenAI-o1 in math, coding, and inference tasks.

DeepSeek-R1-Distill-Qwen-32B

Text generation

Q&A and text generation inference

Chinese and English

CN-Hong Kong

Qwen-32B is distilled from DeepSeek-R1 outputs and matches the capabilities of OpenAI o1-mini. DeepSeek-R1 performs similarly to OpenAI-o1 in math, coding, and inference tasks.

Deepseek-Coder

Text generation

Q&A and text inference

Chinese and English

CN-Hong Kong

DeepSeek Coder includes several code language models. Every model trains from scratch using 2 trillion tokens, with 87% being code and 13% English or Chinese text. It excels in multiple programming languages and performs well across various benchmarks among open-source code models.

Qwen

QwQ

Text generation

Q&A

English

CN-Hong Kong

QwQ is part of the Tongyi series of inference models. Unlike standard instruction-tuning models, QwQ excels at thinking and reasoning, delivering better results on complex tasks.

Qwen 2.5

Qwen 2.5

Text generation

Multilingual processing, mathematical inference, and Q&A

Chinese and English

CN-Hong Kong

Alibaba Cloud's Qwen 2.5 is a new addition to the Qwen series of LLMs. Qwen 2.5 offers various base and instruction-tuned language models, spanning sizes from 0.5 billion to 72 billion parameters.

Qwen2.5-VL

Image understanding

Image understanding and Q&A

Chinese and English

CN-Hong Kong

Qwen-2.5-VL is an open-source multimodal visual language model created by Alibaba Cloud's Qwen team. It excels in visual and language understanding.

Qwen3

Qwen3

Text generation

Q&A

Chinese and English

CN-Hong Kong

The Qwen3 series includes LLMs and multimodal models created by the Qwen team. These models undergo extensive training using vast amounts of language and multimodal data, followed by fine-tuning with top-tier datasets.