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.
Prerequisites
You have registered a Huawei account and enabled Huawei Cloud services.
Accessing the Model Square
- Log in to ModelArts Studio (MaaS) console and select the target region on the top navigation bar.
- In the navigation pane on the left, choose Model Square.
- 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.
- Click Model Details below the target model. On the model details page, check the model's introduction, basic information, and version details.
- 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.
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. |
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