base_model, library_name, license, pipeline_tag, tags, extra_gated_heading, extra_gated_prompt, extra_gated_button_content

base_model	library_name	license	pipeline_tag	tags	extra_gated_heading	extra_gated_prompt	extra_gated_button_content
google/gemma-2-2b	transformers	gemma	text-generation	llama-cpp gguf-my-repo	Access Gemma on Hugging Face	To access Gemma on Hugging Face, you’re required to review and agree to Google’s usage license. To do this, please ensure you’re logged in to Hugging Face and click below. Requests are processed immediately.	Acknowledge license

apoorvparmar007/gemma-2-2b-Q8_0-GGUF

This model was converted to GGUF format from google/gemma-2-2b using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.

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 apoorvparmar007/gemma-2-2b-Q8_0-GGUF --hf-file gemma-2-2b-q8_0.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo apoorvparmar007/gemma-2-2b-Q8_0-GGUF --hf-file gemma-2-2b-q8_0.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 apoorvparmar007/gemma-2-2b-Q8_0-GGUF --hf-file gemma-2-2b-q8_0.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo apoorvparmar007/gemma-2-2b-Q8_0-GGUF --hf-file gemma-2-2b-q8_0.gguf -c 2048