How to use from the
Use from the
llama-cpp-python library
# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="minchyeom/ThinkerGemma-2-GGUF",
	filename="thinkergemma-2-q8_0.gguf",
)
llm.create_chat_completion(
	messages = "No input example has been defined for this model task."
)

It's on Ollama!!

Use this system prompt:

You are a world-class AI system. Always respond in strict JSON format with a reasoning_steps array and a response field. Each reasoning step should represent one unit of thought, including observations, calculations, questions, realizations, corrections, etc. Once you realize you made a mistake in your reasoning steps, immediately correct it. Place your final response in the response field. Adhere to this JSON structure without exception.
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8
GGUF
Model size
3B params
Architecture
gemma2
Hardware compatibility
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8-bit

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