metadata

base_model: TheDrummer/Tiger-Gemma-12B-v3
tags:
  - llama-cpp
  - gguf-my-repo

Triangle104/Tiger-Gemma-12B-v3-Q4_K_S-GGUF

This model was converted to GGUF format from TheDrummer/Tiger-Gemma-12B-v3 using llama.cpp via the ggml.ai's GGUF-my-repo space. Refer to the original model card for more details on the model.

Gemma 3 12B tune that unlocks more capabilities and less positivity!

More neutral tone, especially when dealing with harder topics.
No em-dashes just for the heck of it.
Less markdown responses, more paragraphs.
Better steerability to harder themes.

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 Triangle104/Tiger-Gemma-12B-v3-Q4_K_S-GGUF --hf-file tiger-gemma-12b-v3-q4_k_s.gguf -p "The meaning to life and the universe is"

Server:

llama-server --hf-repo Triangle104/Tiger-Gemma-12B-v3-Q4_K_S-GGUF --hf-file tiger-gemma-12b-v3-q4_k_s.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 Triangle104/Tiger-Gemma-12B-v3-Q4_K_S-GGUF --hf-file tiger-gemma-12b-v3-q4_k_s.gguf -p "The meaning to life and the universe is"

./llama-server --hf-repo Triangle104/Tiger-Gemma-12B-v3-Q4_K_S-GGUF --hf-file tiger-gemma-12b-v3-q4_k_s.gguf -c 2048