HyzeQwenInstruct-Q4_K_M-GGUF

<p align="center"> <img src="https://i.imgur.com/ePJMLNp.png" alt="Hyze Logo" width="405"/> </p> <h1 align="center">HyzeQwenInstruct-GGUF</h1> <p align="center"> A quantized text-generation model by <b>Hyze AI</b> </p> <p align="center"> 🔗 <a href="https://chat.hyze.dev">Chat with all models</a> • 📘 <a href="https://academy.hyze.dev">HyzeAcademy</a> • 🧠 <a href="https://note.hyze.dev">HyzeNote (NotebookLM alternate)</a> </p>

Use with llama.cpp

Install llama.cpp through brew (works on Mac and Linux)

brew install llama.cpp

Invoke the llama.cpp server or the CLI.

CLI:

llama-cli --hf-repo HyzeAI/HyzeQwenInstruct-Q4_K_M-GGUF --hf-file hyzeqweninstruct-q4_k_m.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo HyzeAI/HyzeQwenInstruct-Q4_K_M-GGUF --hf-file hyzeqweninstruct-q4_k_m.gguf -c 2048

Note: You can also use this checkpoint directly through the usage steps 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 HyzeAI/HyzeQwenInstruct-Q4_K_M-GGUF --hf-file hyzeqweninstruct-q4_k_m.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo HyzeAI/HyzeQwenInstruct-Q4_K_M-GGUF --hf-file hyzeqweninstruct-q4_k_m.gguf -c 2048