Llava 1.5 7b Hf Q4 K M GGUF

🚀 Marwan02/llava-1.5-7b-hf-Q4_K_M-GGUF

This model is converted to GGUF format, enabling efficient use in various applications. It combines vision and text capabilities, offering a powerful solution for image - text processing tasks.

🚀 Quick Start

This model was converted to GGUF format from llava-hf/llava-1.5-7b-hf 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

Use with llama.cpp

CLI

llama-cli --hf-repo Marwan02/llava-1.5-7b-hf-Q4_K_M-GGUF --hf-file llava-1.5-7b-hf-q4_k_m.gguf -p "The meaning to life and the universe is"

Server

llama-server --hf-repo Marwan02/llava-1.5-7b-hf-Q4_K_M-GGUF --hf-file llava-1.5-7b-hf-q4_k_m.gguf -c 2048

Alternative Usage Steps

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 Marwan02/llava-1.5-7b-hf-Q4_K_M-GGUF --hf-file llava-1.5-7b-hf-q4_k_m.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo Marwan02/llava-1.5-7b-hf-Q4_K_M-GGUF --hf-file llava-1.5-7b-hf-q4_k_m.gguf -c 2048

📄 License

This model is under the llama2 license.

📚 Documentation