Include in Readme how to Pass Custom Arguments to `llama_cpp.server` in Docker

Look at the Dockerfile and existing README sections about running the server. The issue shows the incorrect command; the solution is to document the correct way to pass arguments to the llama_cpp.server application, not to uvicorn. Check how the server's entry point is defined and update the README with a working example.

Title:

Issue with Passing Custom Arguments to llama_cpp.server in Docker

Issue Description:

Hello abetlen,

I've been trying to use your Docker image ghcr.io/abetlen/llama-cpp-python:v0.2.24 for llama_cpp.server, and I encountered some difficulties when attempting to pass custom arguments (--n_gpu_layers 81, --chat_format chatml, --use_mlock False) to the server through Docker.

Steps to Reproduce:

1. Pull the Docker image: docker pull ghcr.io/abetlen/llama-cpp-python:v0.2.24

2. Run the container with custom arguments:

   docker run --rm -it -p 8000:8000 \
     -v /home/jaredquek/text-generation-webui/models:/models \
     -e MODEL=/models/tulu-2-dpo-70b.Q5_K_M.gguf \
     --entrypoint uvicorn \
     ghcr.io/abetlen/llama-cpp-python:v0.2.24 \
     --factory llama_cpp.server.app:create_app --host 0.0.0.0 --port 8000 --n_gpu_layers 81 --chat_format chatml --use_mlock False
   

   This results in an error: Error: No such option: --n_gpu_layers.

Expected Behavior:

I expected to be able to pass these arguments to the llama_cpp.server application inside the Docker container.

Actual Behavior:

The uvicorn command does not recognize these arguments as it's designed for the ASGI server, not the llama_cpp.server application.

Potential Solutions:

• Modify the Dockerfile or application configuration to accept these arguments.
• Provide guidance in Readme on how to correctly pass additional arguments or configure the server with these settings.

I would appreciate any assistance or guidance you could provide on this issue.

Thank you for your time and for maintaining this project.

Best regards.