Gemma 3 R1984 27B Q6 K GGUF

🚀 GrimsenClory/Gemma-3-R1984-27B-Q6_K-GGUF

This project offers a model converted to the GGUF format. It addresses the need to use the VIDraft/Gemma-3-R1984-27B model in a more compatible and efficient way, providing users with a seamless experience in various applications.

🚀 Quick Start

This model was converted to GGUF format from VIDraft/Gemma-3-R1984-27B 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 GrimsenClory/Gemma-3-R1984-27B-Q6_K-GGUF --hf-file gemma-3-r1984-27b-q6_k.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo GrimsenClory/Gemma-3-R1984-27B-Q6_K-GGUF --hf-file gemma-3-r1984-27b-q6_k.gguf -c 2048

Advanced Usage

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 GrimsenClory/Gemma-3-R1984-27B-Q6_K-GGUF --hf-file gemma-3-r1984-27b-q6_k.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo GrimsenClory/Gemma-3-R1984-27B-Q6_K-GGUF --hf-file gemma-3-r1984-27b-q6_k.gguf -c 2048

📄 License

The license for this model is gemma.

📚 Documentation