Hopesar/gemma-2-2b-tr-Q4_K_M-GGUF

This model was converted to GGUF format from atasoglu/gemma-2-2b-tr 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 Hopesar/gemma-2-2b-tr-Q4_K_M-GGUF --hf-file gemma-2-2b-tr-q4_k_m.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo Hopesar/gemma-2-2b-tr-Q4_K_M-GGUF --hf-file gemma-2-2b-tr-q4_k_m.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 Hopesar/gemma-2-2b-tr-Q4_K_M-GGUF --hf-file gemma-2-2b-tr-q4_k_m.gguf -p "The meaning to life and the universe is"

or

./llama-server --hf-repo Hopesar/gemma-2-2b-tr-Q4_K_M-GGUF --hf-file gemma-2-2b-tr-q4_k_m.gguf -c 2048
Downloads last month
2
GGUF
Model size
2.61B params
Architecture
gemma2

4-bit

Inference API
Unable to determine this model’s pipeline type. Check the docs .

Model tree for Hopesar/gemma-2-2b-tr-Q4_K_M-GGUF

Base model

google/gemma-2-2b
Quantized
(1)
this model

Dataset used to train Hopesar/gemma-2-2b-tr-Q4_K_M-GGUF