docs(lm-studio): add documentation for LM Studio and its API usage

website/docs/references/models-http-api/lm-studio.md

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+# LM Studio
+
+[LM Studio](https://lmstudio.ai/) is a desktop application that allows you to discover, download, and run local LLMs using various model formats (GGUF, GGML, SafeTensors). It provides an OpenAI-compatible API server for running these models locally.
+
+## Chat model
+
+LM Studio provides an OpenAI-compatible chat API interface that can be used with Tabby.
+
+```toml title="~/.tabby/config.toml"
+[model.chat.http]
+kind = "openai/chat"
+model_name = "deepseek-r1-distill-qwen-7b"  # Example model
+api_endpoint = "http://localhost:1234/v1"    # LM Studio server endpoint with /v1 path
+api_key = ""                                 # No API key required for local deployment
+```
+
+## Completion model
+
+LM Studio can be used for code completion tasks through its OpenAI-compatible completion API.
+
+```toml title="~/.tabby/config.toml"
+[model.completion.http]
+kind = "openai/completion"
+model_name = "starcoder2-7b"                 # Example code completion model
+api_endpoint = "http://localhost:1234/v1"
+api_key = ""
+prompt_template = "<PRE> {prefix} <SUF>{suffix} <MID>"  # Example prompt template for CodeLlama models
+```
+
+## Embeddings model
+
+LM Studio supports embedding functionality through its OpenAI-compatible API.
+
+```toml title="~/.tabby/config.toml"
+[model.embedding.http]
+kind = "openai/embedding"
+model_name = "text-embedding-nomic-embed-text-v1.5"
+api_endpoint = "http://localhost:1234/v1"
+api_key = ""
+```
+
+## Usage Notes
+
+1. Download and install LM Studio from their [official website](https://lmstudio.ai/).
+2. Download your preferred model through LM Studio's model discovery interface.
+3. Start the local server by clicking the "Start Server" button in LM Studio.
+4. Configure Tabby to use LM Studio's API endpoint as shown in the examples above.
+5. The default server port is 1234, but you can change it in LM Studio's settings if needed.
+6. Make sure to append `/v1` to the API endpoint as LM Studio follows OpenAI's API structure.
+
+LM Studio is particularly useful for running models locally without requiring complex setup or command-line knowledge. It supports a wide range of models and provides a user-friendly interface for model management and server operations.