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---
title: LM Studio
---
Open Interpreter can use OpenAI-compatible server to run models locally. (LM Studio, jan.ai, ollama etc)
Simply run `interpreter` with the api_base URL of your inference server (for LM studio it is `http://localhost:1234/v1` by default):
```shell
interpreter --api_base "http://localhost:1234/v1" --api_key "fake_key"
```
Alternatively you can use Llamafile without installing any third party software just by running
```shell
interpreter --local
```
for a more detailed guide check out [this video by Mike Bird](https://www.youtube.com/watch?v=CEs51hGWuGU?si=cN7f6QhfT4edfG5H)
**How to run LM Studio in the background.**
1. Download [https://lmstudio.ai/](https://lmstudio.ai/) then start it.
2. Select a model then click **↓ Download**.
3. Click the **↔️** button on the left (below 💬).
4. Select your model at the top, then click **Start Server**.
Once the server is running, you can begin your conversation with Open Interpreter.
(When you run the command `interpreter --local` and select LMStudio, these steps will be displayed.)
<Info>
Local mode sets your `context_window` to 3000, and your `max_tokens` to 1000.
If your model has different requirements, [set these parameters
manually.](/settings#language-model)
</Info>
# Python
Compared to the terminal interface, our Python package gives you more granular control over each setting.
You can point `interpreter.llm.api_base` at any OpenAI compatible server (including one running locally).
For example, to connect to [LM Studio](https://lmstudio.ai/), use these settings:
```python
from interpreter import interpreter
interpreter.offline = True # Disables online features like Open Procedures
interpreter.llm.model = "openai/x" # Tells OI to send messages in OpenAI's format
interpreter.llm.api_key = "fake_key" # LiteLLM, which we use to talk to LM Studio, requires this
interpreter.llm.api_base = "http://localhost:1234/v1" # Point this at any OpenAI compatible server
interpreter.chat()
```
Simply ensure that **LM Studio**, or any other OpenAI compatible server, is running at `api_base`.
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