Doc: Add IPEX-LLM model provider (#1417)

* Add related doc for IPEX-LLM accelerated Ollama provider

* Add description in providor title and other small updates

docs/docs/reference/Model Providers/ipex_llm.md

@@ -0,0 +1,39 @@
+# IPEX-LLM
+
+:::info
+[**IPEX-LLM**](https://github.com/intel-analytics/ipex-llm) is a PyTorch library for running LLM on Intel CPU and GPU (e.g., local PC with iGPU, discrete GPU such as Arc A-Series, Flex and Max) with very low latency.
+:::
+
+IPEX-LLM supports accelerated Ollama backend to be hosted on Intel GPU. Refer to [this guide](https://ipex-llm.readthedocs.io/en/latest/doc/LLM/Quickstart/ollama_quickstart.html) from IPEX-LLM official documentation about how to install and run Ollama serve accelerated by IPEX-LLM on Intel GPU. You can then configure Continue to use the IPEX-LLM accelerated `"ollama"` provider as follows:
+
+```json title="~/.continue/config.json"
+{
+  "models": [
+    {
+      "title": "IPEX-LLM",
+      "provider": "ollama",
+      "model": "AUTODETECT"
+    }
+  ]
+}
+```
+
+If you would like to reach the Ollama service from another machine, make sure you set or export the environment variable `OLLAMA_HOST=0.0.0.0` before executing the command `ollama serve`. Then, in the Continue configuration, set `'apiBase'` to correspond with the IP address / port of the remote machine. That is, Continue can be configured to be:
+
+```json title="~/.continue/config.json"
+{
+  "models": [
+    {
+      "title": "IPEX-LLM",
+      "provider": "ollama",
+      "model": "AUTODETECT",
+      "apiBase": "http://your-ollama-service-ip:11434"
+    }
+  ]
+}
+```
+
+:::tip
+- For more configuration options regarding completion or authentication, you could refer to [here](./ollama.md#completion-options) for Ollama provider.
+- If you would like to preload the model before your first conversation with that model in Continue, you could refer to [here](https://ipex-llm.readthedocs.io/en/latest/doc/LLM/Quickstart/continue_quickstart.html#pull-and-prepare-the-model) for more information.
+:::

docs/docs/setup/select-provider.md

@@ -20,12 +20,13 @@ You can run a model on your local computer using:
 - [LM Studio](../reference/Model%20Providers/lmstudio.md)
 - [Llama.cpp](../reference/Model%20Providers/llamacpp.md)
 - [KoboldCpp](../reference/Model%20Providers/openai.md) (OpenAI compatible server)
-- [llamafile](../reference/Model%20Providers/llamafile) ((OpenAI compatible server)
+- [llamafile](../reference/Model%20Providers/llamafile) (OpenAI compatible server)
 - [LocalAI](../reference/Model%20Providers/openai.md) (OpenAI compatible server)
 - [Text generation web UI](../reference/Model%20Providers/openai.md) (OpenAI compatible server)
 - [FastChat](../reference/Model%20Providers/openai.md) (OpenAI compatible server)
 - [llama-cpp-python](../reference/Model%20Providers/openai.md) (OpenAI compatible server)
 - [TensorRT-LLM](https://github.com/NVIDIA/trt-llm-as-openai-windows?tab=readme-ov-file#examples) (OpenAI compatible server)
+- [IPEX-LLM](../reference/Model%20Providers/ipex_llm.md) (Local LLM on Intel GPU)
 
 ### Remote