--- license: mit datasets: - microsoft/orca-math-word-problems-200k language: - en base_model: - google/gemma-2-2b-it --- # GemMath This model is a domain-specific fine-tuned LLM model which is specialized in mathematical inferences and deductions, based on Gemma2 LLM model. ## Model Description - **Developed by:** Nathan Kim (NK590) - **Model type:** LLM model - **Language(s) (NLP):** English - **License:** MIT - **Finetuned from model:** gemma2-2b ## Uses You can import `.gguf` file with `ollama` to run this model. For example, make `Modelfile` file below in the same directory with `.gguf` file, ``` FROM unsloth.Q8_0.gguf TEMPLATE """{{- if .System }} {{ .System }} {{- end }} Human: {{ .Prompt }} Assistant: """ SYSTEM """A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions.""" PARAMETER temperature 0 PARAMETER num_predict 3000 PARAMETER num_ctx 4096 PARAMETER stop PARAMETER stop ``` then run the following command to read on ollama: ``` ollama create {model_name} -f Modelfile ``` finally, you can run this model on ollama. Enjoy! ``` ollama run {model_name} ``` ## Training Data This model was fine-tuned using [orca-math-word-problems-200k](https://huggingface.co/datasets/microsoft/orca-math-word-problems-200k) dataset.