Updated on 2025-08-04 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 the ModelArts Studio 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

    Models

    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, deployment, and tuning.

    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 Tune, Compress, or Deploy on the right to train or use the model.

    The model does not support that task if you see a grayed-out button.

Models

Table 2 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 Regions

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.