Update README.md

README.md

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 # CHE-72-ZLab/Alibaba-Qwen2-7B-Instruct-GGUF
 This model was converted to GGUF format from [`Qwen/Qwen2-7B-Instruct`](https://huggingface.co/Qwen/Qwen2-7B-Instruct) 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/Qwen/Qwen2-7B-Instruct) for more details on the model.
-## Use with llama.cpp
-Install llama.cpp through brew (works on Mac and Linux)
-```bash
-brew install llama.cpp
-```
-Invoke the llama.cpp server or the CLI.
-### CLI:
-```bash
-llama-cli --hf-repo CHE-72/Qwen2-7B-Instruct-Q4_0-GGUF --hf-file qwen2-7b-instruct-q4_0.gguf -p "The meaning to life and the universe is"
-```
-### Server:
-```bash
-llama-server --hf-repo CHE-72/Qwen2-7B-Instruct-Q4_0-GGUF --hf-file qwen2-7b-instruct-q4_0.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.
-Step 1: Clone llama.cpp from GitHub.
-```
-git clone https://github.com/ggerganov/llama.cpp
-```
-Step 2: Move into the llama.cpp folder and build it with `LLAMA_CURL=1` flag along with other hardware-specific flags (for ex: LLAMA_CUDA=1 for Nvidia GPUs on Linux).
-```
-cd llama.cpp && LLAMA_CURL=1 make
-```
-Step 3: Run inference through the main binary.
-```
-./llama-cli --hf-repo CHE-72/Qwen2-7B-Instruct-Q4_0-GGUF --hf-file qwen2-7b-instruct-q4_0.gguf -p "The meaning to life and the universe is"
-```
-or 
-```
-./llama-server --hf-repo CHE-72/Qwen2-7B-Instruct-Q4_0-GGUF --hf-file qwen2-7b-instruct-q4_0.gguf -c 2048
-```