> ## Documentation Index
> Fetch the complete documentation index at: https://phidatainc-agui.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# LM Studio

> Run local models with LM Studio in Agno agents.

Run Large Language Models locally with LM Studio

[LM Studio](https://lmstudio.ai) is a fantastic tool for running models locally.

LM Studio supports multiple open-source models. See the library [here](https://lmstudio.ai/models).

We recommend experimenting to find the best-suited model for your use-case. Here are some general recommendations:

* `llama3.3` models are good for most basic use-cases.
* `qwen` models perform specifically well with tool use.
* `deepseek-r1` models have strong reasoning capabilities.
* `phi4` models are powerful, while being really small in size.

## Set up a model

Install [LM Studio](https://lmstudio.ai), download the model you want to use, and run it.

## Example

After you have the model locally, use the `LM Studio` model class to access it

<CodeGroup>
  ```python agent.py theme={null}
  from agno.agent import Agent
  from agno.models.lmstudio import LMStudio

  agent = Agent(
      model=LMStudio(id="qwen2.5-7b-instruct-1m"),
      markdown=True
  )

  # Print the response in the terminal
  agent.print_response("Share a 2 sentence horror story.")
  ```
</CodeGroup>

<Note> View more examples [here](/models/providers/local/lmstudio/usage/basic-stream). </Note>

## Params

| Parameter  | Type            | Default                                              | Description                                             |
| ---------- | --------------- | ---------------------------------------------------- | ------------------------------------------------------- |
| `id`       | `str`           | `"lmstudio-community/Meta-Llama-3-8B-Instruct-GGUF"` | The id of the LMStudio model to use                     |
| `name`     | `str`           | `"LMStudio"`                                         | The name of the model                                   |
| `provider` | `str`           | `"LMStudio"`                                         | The provider of the model                               |
| `api_key`  | `Optional[str]` | `None`                                               | The API key for LMStudio (usually not needed for local) |
| `base_url` | `str`           | `"http://localhost:1234/v1"`                         | The base URL for the local LMStudio server              |

`LM Studio` also supports the params of [OpenAI](/reference/models/openai).