predibase/gsm8k

Description: Grade school math problems\ Original dataset: https://huggingface.co/datasets/gsm8k \ ---\ Try querying this adapter for free in Lora Land at https://predibase.com/lora-land! \ The adapter_category is STEM and the name is Grade School Math (gsm8k)\ ---\ Sample input: Please answer the following question: James decides to run 3 sprints 3 times a week. He runs 60 meters each sprint. How many total meters does he run a week?\nAnswer:\ ---\ Sample output: He runs 33=<<33=9>>9 sprints a week He runs 609=<<609=540>>540 meters a week

540\

---\ Try using this adapter yourself!

from transformers import AutoModelForCausalLM, AutoTokenizer

model_id = "mistralai/Mistral-7B-v0.1"
peft_model_id = "predibase/gsm8k"

model = AutoModelForCausalLM.from_pretrained(model_id)
model.load_adapter(peft_model_id)