chore: format

README.md

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 `llama-cpp-runner` is the ultimate Python library for running [llama.cpp](https://github.com/ggerganov/llama.cpp) with zero hassle. It automates the process of downloading prebuilt binaries from the upstream repo, keeping you always **up to date** with the latest developments. All while requiring no complicated setups—everything works **out-of-the-box**.
 
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 ## Key Features 🌟
 
 1. **Always Up-to-Date**: Automatically fetches the latest prebuilt binaries from the upstream llama.cpp GitHub repo. No need to worry about staying current.
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 4. **Built-in HTTP Server**: Automatically spins up a server for chat interactions and manages idle timeouts to save resources.
 5. **Cross-Platform Support**: Works on **Windows**, **Linux**, and **macOS** with automatic detection for AVX/AVX2/AVX512/ARM architectures.
 
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 ## Why Use `llama-cpp-runner`?
 
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 - **Streamlined Model Serving**: Effortlessly manage multiple models and serve them with an integrated HTTP server.
 - **Fast Integration**: Use prebuilt binaries from upstream so you can spend more time building and less time troubleshooting.
 
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 ## Installation 🚀
 
 Installing `llama-cpp-runner` is quick and easy! Just use pip:
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 pip install llama-cpp-runner
 ```
 
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 ## Usage 📖
 
 ### Initialize the Runner
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 print(response)
 ```
 
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 ## How It Works 🛠️
 
 1. Automatically detects your system architecture (e.g., AVX, AVX2, ARM) and platform.
 2. Downloads and extracts the prebuilt llama.cpp binaries from the official repo.
 3. Spins up a lightweight HTTP server for chat interactions.
 
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 ## Advantages 👍
 
 - **Hassle-Free**: No need to compile binaries or manage system-specific dependencies.  
 - **Latest Features, Always**: Stay up to date with llama.cpp’s improvements with every release.  
 - **Optimized for Your System**: Automatically fetches the best binary for your architecture.
 
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 ## Supported Platforms 🖥️
 
 - Windows
 - macOS
 - Linux
 
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 ## Contributing 💻
 
 We’d love your contributions! Bug reports, feature requests, and pull requests are all welcome. 
 
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 ## License 📜
 
 This library is open-source and distributed under the MIT license.