Erax VL 2B V1.5 Q4 K M GGUF

🚀 Ngoac/EraX-VL-2B-V1.5-Q4_K_M-GGUF

This model is a conversion to the GGUF format from the original model erax-ai/EraX-VL-2B-V1.5. The conversion was carried out using llama.cpp via the ggml.ai's GGUF-my-repo space. For more in - depth details about the model, please refer to the original model card.

🚀 Quick Start

✨ Features

• Supports multiple languages including Vietnamese, English, and Chinese.
• Suitable for visual - question - answering tasks.
• Applicable in various fields such as insurance and OCR.

📦 Installation

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

brew install llama.cpp

💻 Usage Examples

Basic Usage

CLI:

llama-cli --hf-repo Ngoac/EraX-VL-2B-V1.5-Q4_K_M-GGUF --hf-file erax-vl-2b-v1.5-q4_k_m.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo Ngoac/EraX-VL-2B-V1.5-Q4_K_M-GGUF --hf-file erax-vl-2b-v1.5-q4_k_m.gguf -c 2048

Advanced Usage

You can also use this checkpoint directly following the usage steps in the Llama.cpp repo:

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 Ngoac/EraX-VL-2B-V1.5-Q4_K_M-GGUF --hf-file erax-vl-2b-v1.5-q4_k_m.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo Ngoac/EraX-VL-2B-V1.5-Q4_K_M-GGUF --hf-file erax-vl-2b-v1.5-q4_k_m.gguf -c 2048

📄 License

This model is licensed under the Apache 2.0 license.