Update README.md

README.md

@@ -45,7 +45,7 @@ Below is a partial list of clients and libraries known to support GGUF:
 * [LM Studio](https://lmstudio.ai/), An intuitive and powerful local GUI designed for Windows and macOS (Silicon), featuring GPU acceleration for enhanced performance.
 * [LoLLMS Web UI](https://github.com/ParisNeo/lollms-webui), A notable web UI with distinctive features, including a comprehensive model library for easy model selection.
 * [Faraday.dev](https://faraday.dev/), A user-friendly character-based chat GUI for Windows and macOS (both Silicon and Intel), boasting GPU acceleration for smooth operation.
-* [llama-cpp-python](https://github.com/abetlen/llama-cpp-python), A Python library offering GPU acceleration, LangChain support, and compatibility with OpenAI's API server.
+* [llama-cpp-python](https://github.com/abetlen/llama-cpp-python), A Python library featuring GPU acceleration, LangChain support, and an OpenAI-compatible API server.
 * [candle](https://github.com/huggingface/candle), A Rust-based ML framework prioritizing performance, equipped with GPU support and designed for ease of use.
 
 <!-- README_GGUF.md-about-gguf end -->
@@ -64,10 +64,7 @@ Below is a partial list of clients and libraries known to support GGUF:
 <!-- compatibility_gguf start -->
 ## Compatibility
 
-These NT-Java-1.1B GGUFs are supported by llama.cpp starting from May 29th, 2024.
-
-They are also compatible with a variety of third-party user interfaces and libraries. For a comprehensive list, please see the beginning of this README.
-
+The NT-Java-1.1B GGUFs are supported by llama.cpp and are compatible with a range of third-party user interfaces and libraries. For a detailed list, please refer to the beginning of this README.
 ## Explanation of quantisation methods
 
 <details>