T3Q Qwen2.5 14b V1.0 E3 Q4 K M GGUF

🚀 Sangto/T3Q-qwen2.5-14b-v1.0-e3-Q4_K_M-GGUF

This project converts the model to GGUF format, facilitating its use in various applications and enhancing compatibility.

🚀 Quick Start

This model was converted to GGUF format from JungZoona/T3Q-qwen2.5-14b-v1.0-e3 using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.

📦 Installation

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

brew install llama.cpp

💻 Usage Examples

Basic Usage

Invoke the llama.cpp server or the CLI.

CLI:

llama-cli --hf-repo Sangto/T3Q-qwen2.5-14b-v1.0-e3-Q4_K_M-GGUF --hf-file t3q-qwen2.5-14b-v1.0-e3-q4_k_m.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo Sangto/T3Q-qwen2.5-14b-v1.0-e3-Q4_K_M-GGUF --hf-file t3q-qwen2.5-14b-v1.0-e3-q4_k_m.gguf -c 2048

Advanced Usage

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 Sangto/T3Q-qwen2.5-14b-v1.0-e3-Q4_K_M-GGUF --hf-file t3q-qwen2.5-14b-v1.0-e3-q4_k_m.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo Sangto/T3Q-qwen2.5-14b-v1.0-e3-Q4_K_M-GGUF --hf-file t3q-qwen2.5-14b-v1.0-e3-q4_k_m.gguf -c 2048

📄 License

This project is licensed under the Apache-2.0 License.

📋 Information Table