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docs: use the Provider settings group name in the Cline Desktop guides
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@@ -8,7 +8,7 @@ The **Local Models** page in Cline Desktop's settings runs models on your own co
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## Open the Local Models page
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Click **Settings** at the bottom of the sidebar, then select **Providers → Local**. Clicking **Providers** opens the page for the provider your chat uses right now, marked **In use**.
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Click **Settings** at the bottom of the sidebar, then select **Provider → Local**. Clicking **Provider** opens the page for the provider your chat uses right now, marked **In use**.
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<Frame>
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<img
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@@ -66,7 +66,7 @@ If Ollama is installed but not running, click **Start Ollama**. Cline launches i
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/>
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</Frame>
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Cline connects to Ollama at `http://localhost:11434` by default. If your Ollama server runs somewhere else, change the **Base URL** under **Settings → Providers → BYOK → Ollama**. Cline can only start Ollama on your own computer, so for a remote server the page asks you to check that the server is running.
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Cline connects to Ollama at `http://localhost:11434` by default. If your Ollama server runs somewhere else, change the **Base URL** under **Settings → Provider → BYOK → Ollama**. Cline can only start Ollama on your own computer, so for a remote server the page asks you to check that the server is running.
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## Set up LM Studio
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@@ -81,7 +81,7 @@ If LM Studio isn't installed, the page links to the LM Studio download. If you d
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Open LM Studio once after installing it. After that, if LM Studio is installed but not running, click **Start LM Studio** and Cline starts its local server for you.
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Cline connects to LM Studio at `http://localhost:1234` by default. If your LM Studio server uses another address, change the **Base URL** under **Settings → Providers → BYOK → LM Studio**. If you turned on authentication for the LM Studio server, add the API token there too.
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Cline connects to LM Studio at `http://localhost:1234` by default. If your LM Studio server uses another address, change the **Base URL** under **Settings → Provider → BYOK → LM Studio**. If you turned on authentication for the LM Studio server, add the API token there too.
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## Download a model
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@@ -226,12 +226,12 @@ Ollama and LM Studio name the same models differently. With LM Studio selected,
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**"Start Ollama" doesn't start it**
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- Open the Ollama app yourself, or run `ollama serve` in a terminal, and watch for errors.
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- If Ollama runs on another machine or port, check the **Base URL** under **Settings → Providers → BYOK → Ollama**.
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- If Ollama runs on another machine or port, check the **Base URL** under **Settings → Provider → BYOK → Ollama**.
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**"Start LM Studio" doesn't start it**
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- Open the LM Studio app once, then try again. Cline starts LM Studio with its `lms` command, which LM Studio sets up the first time it runs.
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- You can also start the server yourself with `lms server start`, or from the **Developer** tab in LM Studio.
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- If LM Studio runs on another machine or port, check the **Base URL** under **Settings → Providers → BYOK → LM Studio**.
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- If LM Studio runs on another machine or port, check the **Base URL** under **Settings → Provider → BYOK → LM Studio**.
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**A model fails to load**
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- An out-of-memory error means the model and its context window don't fit. Unload other models, close memory-heavy apps, or pick a smaller model.
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@@ -213,7 +213,7 @@ Cline Desktop can run sessions on a dev box, build server, or cloud VM while the
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### 7. Run models on your own computer
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Open **Settings → Providers → Local** to run Cline with a model on your own hardware through Ollama or LM Studio. Cline helps you install and start either one, recommends models that fit your machine, downloads them, and switches your chat to the one you pick. A chip below the message box shows how much memory the model is using. See [Local Models in Cline Desktop](/usage/cline-desktop-local-models).
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Open **Settings → Provider → Local** to run Cline with a model on your own hardware through Ollama or LM Studio. Cline helps you install and start either one, recommends models that fit your machine, downloads them, and switches your chat to the one you pick. A chip below the message box shows how much memory the model is using. See [Local Models in Cline Desktop](/usage/cline-desktop-local-models).
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## Related
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