Update README.md

README.md

@@ -5,9 +5,32 @@ tags:
 - gguf-my-repo
 ---
 
-# MoMonir/AutoCoder_S_6.7B-Q4_K_M-GGUF
+# MoMonir/AutoCoder_S_6.7B-GGUF
 This model was converted to GGUF format from [`Bin12345/AutoCoder_S_6.7B`](https://huggingface.co/Bin12345/AutoCoder_S_6.7B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
 Refer to the [original model card](https://huggingface.co/Bin12345/AutoCoder_S_6.7B) for more details on the model.
+
+
+<!-- README_GGUF.md-about-gguf start -->
+### About GGUF ([TheBloke](https://huggingface.co/TheBloke) Description)
+
+GGUF is a new format introduced by the llama.cpp team on August 21st 2023. It is a replacement for GGML, which is no longer supported by llama.cpp.
+
+Here is an incomplete list of clients and libraries that are known to support GGUF:
+
+* [llama.cpp](https://github.com/ggerganov/llama.cpp). The source project for GGUF. Offers a CLI and a server option.
+* [text-generation-webui](https://github.com/oobabooga/text-generation-webui), the most widely used web UI, with many features and powerful extensions. Supports GPU acceleration.
+* [KoboldCpp](https://github.com/LostRuins/koboldcpp), a fully featured web UI, with GPU accel across all platforms and GPU architectures. Especially good for story telling.
+* [GPT4All](https://gpt4all.io/index.html), a free and open source local running GUI, supporting Windows, Linux and macOS with full GPU accel.
+* [LM Studio](https://lmstudio.ai/), an easy-to-use and powerful local GUI for Windows and macOS (Silicon), with GPU acceleration. Linux available, in beta as of 27/11/2023.
+* [LoLLMS Web UI](https://github.com/ParisNeo/lollms-webui), a great web UI with many interesting and unique features, including a full model library for easy model selection.
+* [backyard.ai](https://backyard.ai/) Formeraly [Faraday.dev](https://faraday.dev/), an attractive and easy to use character-based chat GUI for Windows and macOS (both Silicon and Intel), with GPU acceleration.
+* [llama-cpp-python](https://github.com/abetlen/llama-cpp-python), a Python library with GPU accel, LangChain support, and OpenAI-compatible API server.
+* [candle](https://github.com/huggingface/candle), a Rust ML framework with a focus on performance, including GPU support, and ease of use.
+* [ctransformers](https://github.com/marella/ctransformers), a Python library with GPU accel, LangChain support, and OpenAI-compatible AI server. Note, as of time of writing (November 27th 2023), ctransformers has not been updated in a long time and does not support many recent models.
+
+<!-- README_GGUF.md-about-gguf end -->
+
+
 ## Use with llama.cpp
 Install llama.cpp through brew.
 ```bash
@@ -16,11 +39,11 @@ brew install ggerganov/ggerganov/llama.cpp
 Invoke the llama.cpp server or the CLI.
 CLI:
 ```bash
-llama-cli --hf-repo MoMonir/AutoCoder_S_6.7B-Q4_K_M-GGUF --model autocoder_s_6.7b-q4_k_m.gguf -p "The meaning to life and the universe is"
+llama-cli --hf-repo MoMonir/AutoCoder_S_6.7B-GGUF --model autocoder_s_6.7b-q4_k_m.gguf -p "The meaning to life and the universe is"
 ```
 Server:
 ```bash
-llama-server --hf-repo MoMonir/AutoCoder_S_6.7B-Q4_K_M-GGUF --model autocoder_s_6.7b-q4_k_m.gguf -c 2048
+llama-server --hf-repo MoMonir/AutoCoder_S_6.7B-GGUF --model autocoder_s_6.7b-q4_k_m.gguf -c 2048
 ```
 Note: You can also use this checkpoint directly through the [usage steps](https://github.com/ggerganov/llama.cpp?tab=readme-ov-file#usage) listed in the Llama.cpp repo as well.
 ```