> For the complete documentation index, see [llms.txt](https://ai-docs.fptcloud.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://ai-docs.fptcloud.com/fpt-ai-studio/services/model-hub/tutorials/how-to-use-model-catalog.md).

# How to Use Model Catalog?

Each model card includes:

* **Model Name** (e.g., `Qwen/Qwen3-14B`, `meta-llama/Llama-3-70B`)
* **Provider** (e.g., Qwen, Meta LLaMA, Google Gemma, DeepSeek, IBM Granite, Mistral)
* **Version or Size** (e.g., `7B`, `14B`, `70B`)

Each model card provides multiple options via the **three-dot menu (⋮)**:

* **Playground**

  Test the model directly in the Playground interface. You can interact with it before deployment.
* **Create API Endpoint**

  Generate an API endpoint for the model so it can be integrated into your applications or services.
* **Fine-tune**

  Customize the model using your own dataset to improve performance for your specific use case.

![file](https://fptcloud.com/wp-content/uploads/2025/09/image-1757045110043.png)

**Browsing and Searching Models**

* Use the **search bar** at the top to quickly find a model by name.
* Use the **filter tabs** (e.g., DeepSeek, GPT, Qwen, etc.) to view models from a specific family.
* At the bottom right, adjust the **“Models per page”** setting to display 8, 16,32, 64, or more models per page.
* Navigate between pages using the pagination controls.


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